example_id int64 0 10k | metadata stringlengths 680 723 | classification_prompt stringlengths 4.96k 12.1k | classification_completion stringclasses 14
values | classification_text stringlengths 4.97k 12.1k | improved_signature stringlengths 3.25k 6.83k | improved_model_weights stringlengths 1.77k 5.05k | training_metrics stringlengths 1.46k 2.93k |
|---|---|---|---|---|---|---|---|
100 | {"target_pattern": "sorted_descending", "degraded_accuracy": 0.52, "improved_accuracy": 0.98, "improvement": 0.45999999999999996, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 1654, "learning_rate": 0.0421... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.404573,
-0.220281,
0.170532,
0.602775,
... | sorted_descending | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.404573,
-0.220281,
0.170532,
0.602775,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [21.885968494136264, 21.963016352454442, 22.95173135290595, 23.661221838921392, 86.65759894251823]}, "1": {"fourier": [17.437409575183846, 20.17047823569809, 21.542755434454023, 22.75172680205856, 38.70258775353432]}, "2": {"fourier": [24.15323366980403... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.404573, -0.220281, 0.170532, 0.602775, 0.018498], [-0.357893, -0.... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.690277487039566, "train_acc": 0.56, "val_loss": 0.668057918548584, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6465247273445129, "train_acc": 0.56, "val_loss": 0.5705704689025879, "val_a... |
101 | {"target_pattern": "alternating", "degraded_accuracy": 0.7, "improved_accuracy": 0.94, "improvement": 0.24, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 7898, "learning_rate": 0.06855529555649914, "batch_... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.370202,
-0.444076,
-0.508169,
-0.434428... | alternating | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.370202,
-0.444076,
-0.508169,
-0.434428... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [34.07041282256977, 36.37406994673223, 40.83436322313807, 46.84271313749131, 358.2600357532501]}, "1": {"fourier": [45.145576772268974, 47.88493541968717, 49.845572572093495, 49.84638529314385, 76.78678347915411]}, "2": {"fourier": [23.338990788572666, ... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.370202, -0.444076, -0.508169, -0.434428, -0.226101], [-0.297087, ... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6797381043434143, "train_acc": 0.51, "val_loss": 0.7242150902748108, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.5921111702919006, "train_acc": 0.565, "val_loss": 0.5612720847129822, "va... |
102 | {"target_pattern": "increasing_pairs", "degraded_accuracy": 0.52, "improved_accuracy": 0.8, "improvement": 0.28, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 2254, "learning_rate": 0.03622493745133102, "b... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.723847,
-0.050537,
0.570953,
0.604231,
... | increasing_pairs | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.723847,
-0.050537,
0.570953,
0.604231,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [38.2212917614097, 38.28251636397282, 39.416169950490946, 45.01578886825606, 270.17485795915127]}, "1": {"fourier": [25.34739229748196, 28.21912699467805, 28.857811412290072, 29.486185110076924, 175.68317509442568]}, "2": {"fourier": [18.105616245526576... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.723847, -0.050537, 0.570953, 0.604231, -0.418393], [0.149769, -0.5... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6858323216438293, "train_acc": 0.57, "val_loss": 0.69712233543396, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6823926568031311, "train_acc": 0.57, "val_loss": 0.6883007287979126, "val_a... |
103 | {"target_pattern": "sorted_descending", "degraded_accuracy": 0.54, "improved_accuracy": 0.96, "improvement": 0.41999999999999993, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 6191, "learning_rate": 0.0145... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.156765,
-0.373761,
0.184614,
-0.451988,
... | sorted_descending | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.156765,
-0.373761,
0.184614,
-0.451988,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [26.435035837298987, 27.43409520804985, 30.70872442810729, 34.55385769158602, 35.61372096386683]}, "1": {"fourier": [22.149475122437252, 22.355446356675333, 23.097475753752256, 24.353416785309847, 74.9927634447813]}, "2": {"fourier": [23.12764964292682,... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.156765, -0.373761, 0.184614, -0.451988, 0.585563], [0.60277, 0.212... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6810579895973206, "train_acc": 0.755, "val_loss": 0.6638414263725281, "val_acc": 0.54}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6571427285671234, "train_acc": 0.56, "val_loss": 0.6356558203697205, "va... |
104 | {"target_pattern": "palindrome", "degraded_accuracy": 0.6, "improved_accuracy": 0.92, "improvement": 0.32000000000000006, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 9144, "learning_rate": 0.067932464436... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.245983,
0.470496,
-0.257543,
-0.210328,... | palindrome | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.245983,
0.470496,
-0.257543,
-0.210328,... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [18.421230633453376, 18.467261073161804, 21.15529045139082, 22.75675547370252, 34.91279278695583]}, "1": {"fourier": [34.996157943558124, 35.242879215213335, 35.51210809658614, 37.06637696991475, 184.36366444826126]}, "2": {"fourier": [24.46145137372379... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.245983, 0.470496, -0.257543, -0.210328, -0.137312], [0.181029, -0... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.701793760061264, "train_acc": 0.455, "val_loss": 0.6768370866775513, "val_acc": 0.6}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6881017982959747, "train_acc": 0.545, "val_loss": 0.6740782260894775, "val... |
105 | {"target_pattern": "ends_with", "degraded_accuracy": 0.52, "improved_accuracy": 0.9, "improvement": 0.38, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 4632, "learning_rate": 0.04874646437157364, "batch_si... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.148717,
0.250488,
-0.055991,
-0.281441,
... | ends_with | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.148717,
0.250488,
-0.055991,
-0.281441,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [17.350732867990807, 17.35084816168608, 17.755820550832386, 21.397193460516828, 63.18394975364208]}, "1": {"fourier": [22.557868050612285, 29.264708953939515, 29.265474905866263, 31.930166666931342, 122.64215357787907]}, "2": {"fourier": [19.36519242683... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.148717, 0.250488, -0.055991, -0.281441, 0.440764], [0.323998, -0.1... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6882820725440979, "train_acc": 0.57, "val_loss": 0.6801387071609497, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6563098132610321, "train_acc": 0.57, "val_loss": 0.6264872550964355, "val... |
106 | {"target_pattern": "mountain_pattern", "degraded_accuracy": 0.52, "improved_accuracy": 0.8, "improvement": 0.28, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 9370, "learning_rate": 0.07753878097600657, "b... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.155446,
0.108947,
-0.240457,
-0.205885,
... | mountain_pattern | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.155446,
0.108947,
-0.240457,
-0.205885,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [15.191277879554141, 15.68691035776657, 15.901087033330878, 16.72609627511803, 108.3306481987238]}, "1": {"fourier": [24.19233119186796, 24.41283443919706, 25.033606285599866, 25.609578880979146, 76.86181911826134]}, "2": {"fourier": [20.818053565149466... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.155446, 0.108947, -0.240457, -0.205885, -0.327332], [-0.511944, -0... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6825801730155945, "train_acc": 0.58, "val_loss": 0.7125394940376282, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.681875467300415, "train_acc": 0.58, "val_loss": 0.7024994492530823, "val_... |
107 | {"target_pattern": "palindrome", "degraded_accuracy": 0.46, "improved_accuracy": 0.92, "improvement": 0.46, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 6215, "learning_rate": 0.02629771032868996, "batch_... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.14943,
-0.30856,
-0.138737,
0.41266,
... | palindrome | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.14943,
-0.30856,
-0.138737,
0.41266,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [18.51431766862805, 18.99797216357718, 19.722831411726595, 20.137790653617916, 52.12483921647072]}, "1": {"fourier": [25.853776290906524, 26.244036820713262, 27.502004965233258, 31.83140472014975, 106.25811994075775]}, "2": {"fourier": [25.0091908679052... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.14943, -0.30856, -0.138737, 0.41266, 0.352312], [-0.273496, -0.138... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6789404153823853, "train_acc": 0.595, "val_loss": 0.7216507792472839, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6733031868934631, "train_acc": 0.595, "val_loss": 0.7376691699028015, "v... |
108 | {"target_pattern": "starts_with", "degraded_accuracy": 0.56, "improved_accuracy": 0.74, "improvement": 0.17999999999999994, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 8356, "learning_rate": 0.0520519547... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.277802,
-0.845878,
-0.227677,
0.243586,
... | starts_with | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.277802,
-0.845878,
-0.227677,
0.243586,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [26.801399682110077, 27.915948266793603, 28.382057181553034, 29.596771248918852, 37.85139958560467]}, "1": {"fourier": [38.33650199996012, 42.33339225699803, 44.7597933609387, 47.45741591363478, 175.20277312397957]}, "2": {"fourier": [28.03601338410395,... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.277802, -0.845878, -0.227677, 0.243586, 0.445359], [1.071076, 0.34... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.69138965010643, "train_acc": 0.485, "val_loss": 0.7208296060562134, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6725847125053406, "train_acc": 0.6, "val_loss": 0.7441759705543518, "val_a... |
109 | {"target_pattern": "sorted_descending", "degraded_accuracy": 0.48, "improved_accuracy": 0.88, "improvement": 0.4, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 5841, "learning_rate": 0.08035630298006999, "... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.244349,
0.185349,
0.510022,
0.053547,
... | sorted_descending | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.244349,
0.185349,
0.510022,
0.053547,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [19.40959989075666, 21.381912208624346, 23.692317468716045, 26.50797225304566, 211.073655128479]}, "1": {"fourier": [21.643725459398663, 22.767938325676738, 23.14345072801138, 25.48794256416652, 35.45912988483906]}, "2": {"fourier": [24.390262169084604,... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.244349, 0.185349, 0.510022, 0.053547, 0.38088], [0.488555, 0.2350... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.68011274933815, "train_acc": 0.575, "val_loss": 0.7506864070892334, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6523459255695343, "train_acc": 0.575, "val_loss": 0.6065971255302429, "val... |
110 | {"target_pattern": "no_repeats", "degraded_accuracy": 0.4, "improved_accuracy": 0.92, "improvement": 0.52, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 7404, "learning_rate": 0.08354148567894708, "batch_s... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.314396,
-0.539682,
-0.37062,
-0.342993,
... | no_repeats | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.314396,
-0.539682,
-0.37062,
-0.342993,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [26.20084164885889, 26.488789830255616, 26.503276576208677, 26.60878544387604, 212.29106172919273]}, "1": {"fourier": [32.28257616306494, 32.390335323374025, 39.614319263655226, 40.93377912609607, 295.05165027081966]}, "2": {"fourier": [37.5854171421939... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.314396, -0.539682, -0.37062, -0.342993, -0.164684], [-0.113684, -0... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7121573090553284, "train_acc": 0.405, "val_loss": 0.7589362859725952, "val_acc": 0.4}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.7633718848228455, "train_acc": 0.595, "val_loss": 0.8042673468589783, "va... |
111 | {"target_pattern": "decreasing_pairs", "degraded_accuracy": 0.48, "improved_accuracy": 0.92, "improvement": 0.44000000000000006, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 8783, "learning_rate": 0.03110... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.159805,
-0.474491,
-0.021805,
0.256536,
... | decreasing_pairs | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.159805,
-0.474491,
-0.021805,
0.256536,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [17.904529097889316, 17.997488833024615, 18.362353110563017, 18.3658328788516, 19.579740785551902]}, "1": {"fourier": [15.280978735108024, 15.620565055413035, 18.283936203906606, 19.050162969434062, 55.50727890431881]}, "2": {"fourier": [16.246074049694... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.159805, -0.474491, -0.021805, 0.256536, 0.401885], [-0.178447, 0.3... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.690592348575592, "train_acc": 0.565, "val_loss": 0.6973573565483093, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6883300542831421, "train_acc": 0.565, "val_loss": 0.7006683349609375, "va... |
112 | {"target_pattern": "contains_abc", "degraded_accuracy": 0.4, "improved_accuracy": 0.96, "improvement": 0.5599999999999999, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 3098, "learning_rate": 0.09600290499... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
1.297437,
-0.21043,
-0.054149,
0.243527,
... | contains_abc | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
1.297437,
-0.21043,
-0.054149,
0.243527,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [42.695388929232124, 43.56795871916429, 47.79560059353839, 51.09277970091324, 74.38941422104836]}, "1": {"fourier": [66.47757655370498, 68.06835723265579, 76.40127882039837, 84.14219321399288, 239.42250603437424]}, "2": {"fourier": [41.11087638312634, 4... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[1.297437, -0.21043, -0.054149, 0.243527, -0.244185], [1.594342, 0.70... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.734990119934082, "train_acc": 0.395, "val_loss": 0.7086459994316101, "val_acc": 0.4}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6657368838787079, "train_acc": 0.605, "val_loss": 0.8352104425430298, "val... |
113 | {"target_pattern": "vowel_consonant", "degraded_accuracy": 0.6, "improved_accuracy": 0.8, "improvement": 0.20000000000000007, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 4428, "learning_rate": 0.06231881... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.254716,
-0.016832,
0.179868,
-0.354296,
... | vowel_consonant | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.254716,
-0.016832,
0.179868,
-0.354296,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [19.66414003074169, 19.831532992743327, 20.159539883750316, 21.301472808144467, 22.19772845626731]}, "1": {"fourier": [28.838968838833654, 29.24126540680094, 36.37200341970133, 38.058848802004356, 58.81943205744028]}, "2": {"fourier": [47.20959567875891... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.254716, -0.016832, 0.179868, -0.354296, -0.420302], [-0.882307, 0.... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6960848271846771, "train_acc": 0.43, "val_loss": 0.7197183966636658, "val_acc": 0.42}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6777796149253845, "train_acc": 0.59, "val_loss": 0.7554992437362671, "val... |
114 | {"target_pattern": "palindrome", "degraded_accuracy": 0.52, "improved_accuracy": 0.96, "improvement": 0.43999999999999995, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 8945, "learning_rate": 0.02770809628... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.652474,
-0.271199,
0.004093,
0.247996,
... | palindrome | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.652474,
-0.271199,
0.004093,
0.247996,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [25.157172423205274, 26.349188758246925, 31.889436548329204, 37.18430896870142, 141.6088540405035]}, "1": {"fourier": [22.774696480435995, 24.433798500677632, 24.487762718778786, 26.87879689511177, 80.32726640999317]}, "2": {"fourier": [28.5215110220216... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.652474, -0.271199, 0.004093, 0.247996, 0.373511], [-0.399866, -0.1... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6912227272987366, "train_acc": 0.535, "val_loss": 0.6896303296089172, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6809789836406708, "train_acc": 0.56, "val_loss": 0.678175687789917, "val... |
115 | {"target_pattern": "sorted_ascending", "degraded_accuracy": 0.48, "improved_accuracy": 0.96, "improvement": 0.48, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 1440, "learning_rate": 0.04415311775168288, "... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.206484,
-0.660157,
0.341802,
0.598663,
... | sorted_ascending | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.206484,
-0.660157,
0.341802,
0.598663,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [27.13288426729036, 28.810809168906115, 30.10130722763725, 38.099175764209626, 90.77008977532387]}, "1": {"fourier": [24.419676437644664, 25.97625865093071, 26.016004659145416, 28.90625362028867, 208.34845282882452]}, "2": {"fourier": [16.12995588298756... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.206484, -0.660157, 0.341802, 0.598663, 0.311426], [-0.017355, 0.3... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6889151334762573, "train_acc": 0.53, "val_loss": 0.6999795436859131, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6634237468242645, "train_acc": 0.57, "val_loss": 0.6761426329612732, "val... |
116 | {"target_pattern": "first_last_match", "degraded_accuracy": 0.56, "improved_accuracy": 0.76, "improvement": 0.19999999999999996, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 4366, "learning_rate": 0.09229... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.583221,
-0.299435,
0.14179,
-0.20232,
... | first_last_match | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.583221,
-0.299435,
0.14179,
-0.20232,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [38.83815676690322, 41.89901576424128, 43.808465324893355, 50.97873459339495, 90.90248204767704]}, "1": {"fourier": [36.697067041986614, 36.949356474368045, 44.83055882345891, 47.639217367133654, 157.01212298870087]}, "2": {"fourier": [17.39405436516181... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.583221, -0.299435, 0.14179, -0.20232, 0.898647], [0.475471, 0.0596... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6938254833221436, "train_acc": 0.5, "val_loss": 0.6868581175804138, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6936799585819244, "train_acc": 0.55, "val_loss": 0.6768654584884644, "val_... |
117 | {"target_pattern": "sorted_descending", "degraded_accuracy": 0.48, "improved_accuracy": 0.98, "improvement": 0.5, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 9845, "learning_rate": 0.08172799291554145, "... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.360541,
0.192812,
-0.43764,
0.207841,
... | sorted_descending | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.360541,
0.192812,
-0.43764,
0.207841,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [31.91757839216092, 34.051571744783004, 35.082224392465235, 35.91880558927319, 127.05380813777447]}, "1": {"fourier": [23.08307735393504, 23.094994278181716, 25.044150054549153, 31.283233982847044, 33.212408301809226]}, "2": {"fourier": [21.727349189669... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.360541, 0.192812, -0.43764, 0.207841, -0.52268], [-0.512467, 0.37... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7133742272853851, "train_acc": 0.425, "val_loss": 0.6803991198539734, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6088955700397491, "train_acc": 0.575, "val_loss": 0.5319173336029053, "v... |
118 | {"target_pattern": "sorted_descending", "degraded_accuracy": 0.5, "improved_accuracy": 0.92, "improvement": 0.42000000000000004, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 3827, "learning_rate": 0.09615... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.419572,
-0.536807,
-1.109831,
0.915306,
... | sorted_descending | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.419572,
-0.536807,
-1.109831,
0.915306,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [39.178783055359254, 41.610857885134934, 41.79600028706628, 66.92340180125316, 132.02935934066772]}, "1": {"fourier": [30.530393543743443, 31.694044885386848, 33.291835591807796, 38.12953061328379, 42.93828279400824]}, "2": {"fourier": [31.3568738840048... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.419572, -0.536807, -1.109831, 0.915306, -0.364414], [0.740036, 0.1... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6942681670188904, "train_acc": 0.535, "val_loss": 0.8189784288406372, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6917622089385986, "train_acc": 0.575, "val_loss": 0.6505605578422546, "va... |
119 | {"target_pattern": "increasing_pairs", "degraded_accuracy": 0.52, "improved_accuracy": 0.9, "improvement": 0.38, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 7139, "learning_rate": 0.01613935010726621, "b... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.160675,
0.316566,
0.367712,
-0.064793,
... | increasing_pairs | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.160675,
0.316566,
0.367712,
-0.064793,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [19.005579893499895, 19.64164815045469, 19.74034757414471, 22.45862981996345, 148.21392598748207]}, "1": {"fourier": [22.435852424811507, 23.579488464759773, 30.746140761024364, 31.200101801519324, 106.18366304039955]}, "2": {"fourier": [17.304660632874... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.160675, 0.316566, 0.367712, -0.064793, -0.108065], [0.440723, 0.20... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6913730502128601, "train_acc": 0.565, "val_loss": 0.6916378736495972, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6828726232051849, "train_acc": 0.57, "val_loss": 0.6899274587631226, "va... |
120 | {"target_pattern": "palindrome", "degraded_accuracy": 0.48, "improved_accuracy": 0.9, "improvement": 0.42000000000000004, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 7342, "learning_rate": 0.027313225484... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.551055,
0.307813,
0.006121,
0.321938,
... | palindrome | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.551055,
0.307813,
0.006121,
0.321938,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [28.994800402649265, 29.168472441735506, 29.61988518323578, 39.37880203565592, 47.02844160795212]}, "1": {"fourier": [16.266732584488086, 18.185545436394065, 19.73822019994259, 22.722776590259432, 23.85710975922774]}, "2": {"fourier": [14.13297809530854... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.551055, 0.307813, 0.006121, 0.321938, -0.565721], [-0.218918, -0.... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6828722953796387, "train_acc": 0.57, "val_loss": 0.714092493057251, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6919620633125305, "train_acc": 0.57, "val_loss": 0.7107899188995361, "val_... |
121 | {"target_pattern": "vowel_consonant", "degraded_accuracy": 0.6, "improved_accuracy": 0.82, "improvement": 0.21999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 3884, "learning_rate": 0.0238918... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.264115,
0.115489,
0.333657,
0.45956,
... | vowel_consonant | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.264115,
0.115489,
0.333657,
0.45956,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [23.710353247999826, 27.10944573632499, 27.176778964124267, 31.54361896107512, 209.93872710317373]}, "1": {"fourier": [10.052089708714554, 10.920189854475355, 12.02211340012845, 12.292511425945891, 91.50167667865753]}, "2": {"fourier": [20.5577956673236... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.264115, 0.115489, 0.333657, 0.45956, 0.169461], [3.6e-05, -0.26319... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7041445672512054, "train_acc": 0.44, "val_loss": 0.6987131237983704, "val_acc": 0.4}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6946365833282471, "train_acc": 0.46, "val_loss": 0.682098388671875, "val_a... |
122 | {"target_pattern": "sorted_ascending", "degraded_accuracy": 0.46, "improved_accuracy": 0.96, "improvement": 0.49999999999999994, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 8276, "learning_rate": 0.04202... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.270992,
-0.050484,
-0.150778,
-0.222852... | sorted_ascending | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.270992,
-0.050484,
-0.150778,
-0.222852... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [17.82812539723344, 22.001925071672876, 24.608974482052684, 25.657144911864425, 207.7590287923813]}, "1": {"fourier": [41.117528045791445, 46.09121518876066, 49.65506156866436, 52.907188256516015, 364.8618109226227]}, "2": {"fourier": [29.56666848222316... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.270992, -0.050484, -0.150778, -0.222852, -0.353513], [0.357767, 0... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6867785453796387, "train_acc": 0.57, "val_loss": 0.7037135362625122, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6825882792472839, "train_acc": 0.57, "val_loss": 0.7099632024765015, "val... |
123 | {"target_pattern": "ends_with", "degraded_accuracy": 0.42, "improved_accuracy": 0.94, "improvement": 0.52, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 1715, "learning_rate": 0.045586049889062105, "batch_... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.017793,
0.035947,
-0.411876,
-0.093392,... | ends_with | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.017793,
0.035947,
-0.411876,
-0.093392,... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [20.83072077921114, 22.22313845830243, 22.266235130384427, 22.670950369152912, 165.89463967084885]}, "1": {"fourier": [17.776849277644907, 18.077387829117004, 19.228023784089764, 23.316915897659072, 24.862336730962106]}, "2": {"fourier": [19.41553138229... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.017793, 0.035947, -0.411876, -0.093392, -0.391306], [0.047805, 0.... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6721361577510834, "train_acc": 0.6, "val_loss": 0.7440435886383057, "val_acc": 0.36}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.662698894739151, "train_acc": 0.6, "val_loss": 0.6886175274848938, "val_ac... |
124 | {"target_pattern": "contains_abc", "degraded_accuracy": 0.72, "improved_accuracy": 0.88, "improvement": 0.16000000000000003, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 4916, "learning_rate": 0.086477227... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.870168,
-0.068418,
-0.5793,
-0.187129,
... | contains_abc | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.870168,
-0.068418,
-0.5793,
-0.187129,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [34.30611786175311, 35.92964632413335, 36.680320456451014, 39.78182600942287, 131.98979303240776]}, "1": {"fourier": [48.024318824996755, 48.832933060471035, 54.308668653533395, 56.81030144919025, 147.1090143918991]}, "2": {"fourier": [43.31703119113204... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.870168, -0.068418, -0.5793, -0.187129, -0.665673], [1.041187, -0.0... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6912886202335358, "train_acc": 0.55, "val_loss": 0.6857572197914124, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6861083805561066, "train_acc": 0.55, "val_loss": 0.6816633343696594, "val... |
125 | {"target_pattern": "ends_with", "degraded_accuracy": 0.46, "improved_accuracy": 0.92, "improvement": 0.46, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 4269, "learning_rate": 0.015287911217146254, "batch_... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.002215,
0.388537,
0.404034,
-0.175257,
... | ends_with | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.002215,
0.388537,
0.404034,
-0.175257,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [18.718056867210866, 18.9404797449216, 19.43256666953989, 23.887485058029654, 105.47388718277216]}, "1": {"fourier": [19.77276439868779, 20.07896463827967, 24.167636081397184, 27.163878420072127, 69.1556644141674]}, "2": {"fourier": [33.555593804956935,... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.002215, 0.388537, 0.404034, -0.175257, -0.123963], [0.056662, 0.07... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6789353489875793, "train_acc": 0.58, "val_loss": 0.724372386932373, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6829813122749329, "train_acc": 0.58, "val_loss": 0.7200537323951721, "val_... |
126 | {"target_pattern": "increasing_pairs", "degraded_accuracy": 0.48, "improved_accuracy": 0.82, "improvement": 0.33999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 1815, "learning_rate": 0.08172... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.755622,
-0.335214,
-0.049742,
0.241189,... | increasing_pairs | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.755622,
-0.335214,
-0.049742,
0.241189,... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [29.139422005891557, 31.250607210335865, 31.59987877581455, 38.0625569187311, 57.42867523431778]}, "1": {"fourier": [25.845603196774384, 27.693324813723326, 32.03772769065236, 36.64675717164309, 178.1934413909912]}, "2": {"fourier": [15.182848640491887,... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.755622, -0.335214, -0.049742, 0.241189, 0.313566], [-0.118893, -0... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6818418204784393, "train_acc": 0.58, "val_loss": 0.7082718014717102, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6789690852165222, "train_acc": 0.58, "val_loss": 0.7189931273460388, "val... |
127 | {"target_pattern": "contains_abc", "degraded_accuracy": 0.6, "improved_accuracy": 0.9, "improvement": 0.30000000000000004, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 1790, "learning_rate": 0.07414048887... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
1.378562,
0.121304,
-0.556072,
0.220508,
... | contains_abc | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
1.378562,
0.121304,
-0.556072,
0.220508,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [42.205131231651166, 45.1741836588563, 50.238230766067424, 50.43665922928542, 126.71434086561203]}, "1": {"fourier": [13.449252174760742, 15.329860558044475, 15.999965689575195, 16.67168366831894, 72.05250852927566]}, "2": {"fourier": [55.44964353820718... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[1.378562, 0.121304, -0.556072, 0.220508, -0.014618], [0.267525, -0.0... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6796371042728424, "train_acc": 0.575, "val_loss": 0.6802165508270264, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6456644237041473, "train_acc": 0.575, "val_loss": 0.5719798803329468, "va... |
128 | {"target_pattern": "sorted_ascending", "degraded_accuracy": 0.48, "improved_accuracy": 0.92, "improvement": 0.44000000000000006, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 5515, "learning_rate": 0.08505... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.042836,
-0.452942,
-0.338471,
0.256287,... | sorted_ascending | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.042836,
-0.452942,
-0.338471,
0.256287,... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [26.196562382970562, 26.28421353548508, 28.076209746893614, 29.369841303652876, 33.14608698793317]}, "1": {"fourier": [21.428130452537438, 21.929771602153778, 22.64802760946522, 22.89531339148076, 23.656900927474663]}, "2": {"fourier": [3.19443359696107... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.042836, -0.452942, -0.338471, 0.256287, 0.759501], [-0.336888, -0... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6919851303100586, "train_acc": 0.48, "val_loss": 0.7106581330299377, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6455212831497192, "train_acc": 0.58, "val_loss": 0.6030610799789429, "val... |
129 | {"target_pattern": "palindrome", "degraded_accuracy": 0.52, "improved_accuracy": 0.94, "improvement": 0.41999999999999993, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 8523, "learning_rate": 0.03908649267... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.195372,
0.127657,
-0.184095,
-0.106872,... | palindrome | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.195372,
0.127657,
-0.184095,
-0.106872,... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [18.10921483472372, 19.275766649671624, 19.339404022657025, 24.409592450388228, 36.11809705197811]}, "1": {"fourier": [36.205358680665555, 38.23874470546903, 43.06033000939206, 43.523980391725345, 84.65843215584755]}, "2": {"fourier": [27.57425736536213... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.195372, 0.127657, -0.184095, -0.106872, 0.641664], [-0.927421, 0.... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6975657939910889, "train_acc": 0.46, "val_loss": 0.690040111541748, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6707853078842163, "train_acc": 0.565, "val_loss": 0.6992610096931458, "val... |
130 | {"target_pattern": "palindrome", "degraded_accuracy": 0.52, "improved_accuracy": 0.98, "improvement": 0.45999999999999996, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 3836, "learning_rate": 0.02093506456... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.159277,
0.385234,
0.209824,
-0.032472,
... | palindrome | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.159277,
0.385234,
0.209824,
-0.032472,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [14.331464367646282, 14.378388752986359, 14.77944481486214, 15.725787502203026, 77.40322269499302]}, "1": {"fourier": [27.662963277437218, 28.36939991155729, 29.877748413038624, 32.1730885283379, 162.2413835823536]}, "2": {"fourier": [23.84413549582044,... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.159277, 0.385234, 0.209824, -0.032472, -0.213275], [0.510217, 0.1... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7018831074237823, "train_acc": 0.43, "val_loss": 0.6894822716712952, "val_acc": 0.42}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6841819584369659, "train_acc": 0.59, "val_loss": 0.6764369010925293, "val... |
131 | {"target_pattern": "alternating", "degraded_accuracy": 0.68, "improved_accuracy": 0.88, "improvement": 0.19999999999999996, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 7838, "learning_rate": 0.0404827108... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.210331,
0.567968,
0.155643,
0.802148,
... | alternating | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.210331,
0.567968,
0.155643,
0.802148,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [40.21493545188624, 41.48348240275037, 42.123246547937725, 46.03175129247897, 354.00501000881195]}, "1": {"fourier": [26.578880198659107, 28.90546830005027, 34.73457136098599, 36.816629271275644, 74.00456876680255]}, "2": {"fourier": [27.751457460444854... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.210331, 0.567968, 0.155643, 0.802148, 0.482407], [0.325668, -0.25... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6881381571292877, "train_acc": 0.65, "val_loss": 0.6833640336990356, "val_acc": 0.6}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6721067428588867, "train_acc": 0.65, "val_loss": 0.6530404090881348, "val_... |
132 | {"target_pattern": "palindrome", "degraded_accuracy": 0.4, "improved_accuracy": 0.94, "improvement": 0.5399999999999999, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 3904, "learning_rate": 0.0640166071243... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.234433,
-0.140349,
-0.513764,
0.230385,
... | palindrome | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.234433,
-0.140349,
-0.513764,
0.230385,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [26.08560396019133, 26.65466569364071, 30.916372427585184, 31.285731420598516, 31.639267827750555]}, "1": {"fourier": [27.318412661316817, 29.350302979149085, 33.8795459140036, 34.85728732955049, 245.69361281394958]}, "2": {"fourier": [40.0955048701715,... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.234433, -0.140349, -0.513764, 0.230385, 0.739175], [-0.300736, -0.... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6813414990901947, "train_acc": 0.6, "val_loss": 0.7458683848381042, "val_acc": 0.4}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6641608774662018, "train_acc": 0.6, "val_loss": 0.7917335033416748, "val_ac... |
133 | {"target_pattern": "decreasing_pairs", "degraded_accuracy": 0.62, "improved_accuracy": 0.92, "improvement": 0.30000000000000004, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 1146, "learning_rate": 0.01769... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.50025,
0.061055,
0.464631,
0.649156,
... | decreasing_pairs | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.50025,
0.061055,
0.464631,
0.649156,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [26.860335528217583, 28.334549281550945, 28.731290649962528, 31.10522804252054, 192.77591598033905]}, "1": {"fourier": [19.714707053394843, 20.32214628757472, 21.28046701734533, 21.6415924618948, 21.90071218703071]}, "2": {"fourier": [11.903573074022496... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.50025, 0.061055, 0.464631, 0.649156, -0.116139], [-0.052345, -0.2... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7234993875026703, "train_acc": 0.44, "val_loss": 0.705362856388092, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.7083714008331299, "train_acc": 0.44, "val_loss": 0.6813387870788574, "val_... |
134 | {"target_pattern": "increasing_pairs", "degraded_accuracy": 0.38, "improved_accuracy": 0.96, "improvement": 0.58, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 6740, "learning_rate": 0.06371344327572513, "... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.698098,
-0.059558,
-0.020386,
0.184796,... | increasing_pairs | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.698098,
-0.059558,
-0.020386,
0.184796,... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [26.898469495090094, 27.136096214741226, 27.633785212625945, 29.86286158717053, 34.282073154285236]}, "1": {"fourier": [18.245057017887326, 18.24969945838447, 19.186900420787204, 20.737570725679912, 51.751759469509125]}, "2": {"fourier": [26.58216950607... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.698098, -0.059558, -0.020386, 0.184796, 0.706794], [0.379582, -0.... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6930419206619263, "train_acc": 0.475, "val_loss": 0.8074295520782471, "val_acc": 0.38}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6588725745677948, "train_acc": 0.605, "val_loss": 0.7855169773101807, "v... |
135 | {"target_pattern": "palindrome", "degraded_accuracy": 0.56, "improved_accuracy": 0.86, "improvement": 0.29999999999999993, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 2983, "learning_rate": 0.04064447423... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.282653,
-0.098569,
-0.643115,
-0.292017... | palindrome | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.282653,
-0.098569,
-0.643115,
-0.292017... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [29.690961327948852, 32.202823006224584, 34.5045701314928, 39.94989399846561, 262.26868451945484]}, "1": {"fourier": [21.902240756931256, 22.40481263156213, 24.30466158312358, 25.283736883823806, 91.46293349936604]}, "2": {"fourier": [28.552589167429165... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.282653, -0.098569, -0.643115, -0.292017, -0.31606], [0.020129, 0.... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7051284909248352, "train_acc": 0.445, "val_loss": 0.6845215559005737, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6773550510406494, "train_acc": 0.555, "val_loss": 0.6738532781600952, "v... |
136 | {"target_pattern": "alternating", "degraded_accuracy": 0.42, "improved_accuracy": 0.98, "improvement": 0.56, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 1901, "learning_rate": 0.056843564978727945, "batc... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.215666,
0.219231,
-0.513306,
0.258917,
... | alternating | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.215666,
0.219231,
-0.513306,
0.258917,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [33.58280990306648, 34.84376946773674, 35.33923913398172, 36.87345069141566, 115.5217382311821]}, "1": {"fourier": [14.92557265890367, 16.984891704310396, 17.559103906333036, 19.359663540354415, 103.39344900846481]}, "2": {"fourier": [23.700044336288776... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.215666, 0.219231, -0.513306, 0.258917, -0.592177], [-0.130261, -0... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7017727196216583, "train_acc": 0.445, "val_loss": 0.7163354754447937, "val_acc": 0.42}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.650115430355072, "train_acc": 0.585, "val_loss": 0.7300100922584534, "va... |
137 | {"target_pattern": "first_last_match", "degraded_accuracy": 0.66, "improved_accuracy": 0.88, "improvement": 0.21999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 6611, "learning_rate": 0.02838... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.454973,
-0.22128,
0.115952,
-0.084313,
... | first_last_match | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.454973,
-0.22128,
0.115952,
-0.084313,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [29.893895994575114, 33.31086506304247, 34.657570833838506, 39.79325140347716, 87.89715990424156]}, "1": {"fourier": [16.776708835355578, 17.004070108576524, 17.412606780527003, 18.46207472899443, 117.55676901340485]}, "2": {"fourier": [26.8261347350566... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.454973, -0.22128, 0.115952, -0.084313, 0.698015], [-0.194643, 0.12... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7000158131122589, "train_acc": 0.445, "val_loss": 0.6917352080345154, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6820214688777924, "train_acc": 0.565, "val_loss": 0.675210177898407, "val... |
138 | {"target_pattern": "mountain_pattern", "degraded_accuracy": 0.48, "improved_accuracy": 0.84, "improvement": 0.36, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 1689, "learning_rate": 0.05176348975644472, "... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.340046,
0.768734,
0.014864,
-0.486635,
... | mountain_pattern | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.340046,
0.768734,
0.014864,
-0.486635,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [28.201259531988978, 28.26927634661662, 30.44185249804488, 33.27163826654012, 128.2696477174759]}, "1": {"fourier": [21.198957019673845, 23.445930978944904, 23.477645504369185, 34.02861063538473, 47.10322663187981]}, "2": {"fourier": [22.418865160518205... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.340046, 0.768734, 0.014864, -0.486635, 0.28567], [0.329972, 0.0818... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.677532821893692, "train_acc": 0.575, "val_loss": 0.7166079878807068, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6476689279079437, "train_acc": 0.575, "val_loss": 0.6565557718276978, "va... |
139 | {"target_pattern": "mountain_pattern", "degraded_accuracy": 0.68, "improved_accuracy": 0.9, "improvement": 0.21999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 9662, "learning_rate": 0.055474... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.974476,
-0.503071,
0.45123,
0.340273,
... | mountain_pattern | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.974476,
-0.503071,
0.45123,
0.340273,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [39.08237585927237, 39.09173559742866, 40.61795755883832, 40.82408472667258, 66.51442382857203]}, "1": {"fourier": [23.30368090823879, 23.396522997019446, 26.342189236165385, 29.71020679262318, 111.99654930830002]}, "2": {"fourier": [48.44617912485163, ... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.974476, -0.503071, 0.45123, 0.340273, -0.238493], [0.291412, 0.18... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.687709778547287, "train_acc": 0.56, "val_loss": 0.6863852143287659, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6852782964706421, "train_acc": 0.56, "val_loss": 0.6846421957015991, "val_... |
140 | {"target_pattern": "no_repeats", "degraded_accuracy": 0.56, "improved_accuracy": 0.8, "improvement": 0.24, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 1582, "learning_rate": 0.09238521803098516, "batch_s... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.944672,
0.415474,
-0.103813,
0.046107,
... | no_repeats | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.944672,
0.415474,
-0.103813,
0.046107,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [34.819429968354086, 35.13596869310998, 38.1299840501782, 39.36933229532006, 172.43881365656853]}, "1": {"fourier": [31.732788905888583, 31.783347817690604, 36.030963792900465, 37.0431688537023, 150.52016988396645]}, "2": {"fourier": [18.14079036795679,... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.944672, 0.415474, -0.103813, 0.046107, -0.334433], [0.722193, 0.14... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.770250678062439, "train_acc": 0.4, "val_loss": 0.6880782842636108, "val_acc": 0.6}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6919227242469788, "train_acc": 0.52, "val_loss": 0.6869299411773682, "val_ac... |
141 | {"target_pattern": "vowel_consonant", "degraded_accuracy": 0.42, "improved_accuracy": 0.8, "improvement": 0.38000000000000006, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 6085, "learning_rate": 0.0875077... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.423839,
-0.379877,
0.019394,
-0.336681,... | vowel_consonant | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.423839,
-0.379877,
0.019394,
-0.336681,... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [24.60472178351283, 24.61737271779518, 32.344981628972185, 33.1725803923728, 116.18475243449211]}, "1": {"fourier": [24.977239966868773, 25.57212634289717, 26.158671555145816, 28.697704721627073, 241.64938127994537]}, "2": {"fourier": [19.43608128305309... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.423839, -0.379877, 0.019394, -0.336681, 0.440597], [0.336937, -0.... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.684259295463562, "train_acc": 0.505, "val_loss": 0.7485353946685791, "val_acc": 0.42}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6799317598342896, "train_acc": 0.595, "val_loss": 0.7138224840164185, "va... |
142 | {"target_pattern": "contains_abc", "degraded_accuracy": 0.54, "improved_accuracy": 0.92, "improvement": 0.38, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 9054, "learning_rate": 0.06650441325857412, "batc... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.870249,
-0.275678,
0.055834,
-0.142748,
... | contains_abc | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.870249,
-0.275678,
0.055834,
-0.142748,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [28.83049465942775, 30.847398568468414, 32.2367757317731, 42.6595399447255, 52.79455400258303]}, "1": {"fourier": [43.349737643857125, 44.519733827588716, 52.411683269029524, 55.683043461513954, 383.2361028790474]}, "2": {"fourier": [32.6640648824501, 3... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.870249, -0.275678, 0.055834, -0.142748, 0.040608], [-0.68751, -0.4... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.684573233127594, "train_acc": 0.515, "val_loss": 0.7200331687927246, "val_acc": 0.54}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6837337017059326, "train_acc": 0.555, "val_loss": 0.6558791995048523, "va... |
143 | {"target_pattern": "ends_with", "degraded_accuracy": 0.48, "improved_accuracy": 0.9, "improvement": 0.42000000000000004, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 2690, "learning_rate": 0.0432676448866... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.269639,
-0.369311,
0.491624,
0.541113,
... | ends_with | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.269639,
-0.369311,
0.491624,
0.541113,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [30.783708888245584, 32.509196653007464, 38.6981030617394, 44.15370306164014, 45.31336763501167]}, "1": {"fourier": [25.90727865173958, 28.205194970025296, 31.828541619825742, 34.620503174224226, 35.03408514190225]}, "2": {"fourier": [34.6580663248944, ... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.269639, -0.369311, 0.491624, 0.541113, -0.982734], [-0.36733, 0.2... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6839992105960846, "train_acc": 0.56, "val_loss": 0.6919544339179993, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6622769236564636, "train_acc": 0.56, "val_loss": 0.6460282802581787, "val... |
144 | {"target_pattern": "decreasing_pairs", "degraded_accuracy": 0.72, "improved_accuracy": 0.94, "improvement": 0.21999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 1426, "learning_rate": 0.07240... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.025615,
-0.088706,
-0.013248,
0.536965,... | decreasing_pairs | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.025615,
-0.088706,
-0.013248,
0.536965,... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [16.580506517534204, 16.640675276311867, 18.567426185411758, 18.62675149517498, 54.54468521475792]}, "1": {"fourier": [16.73632384628977, 18.82242659838956, 19.438360709697008, 19.73722024820512, 21.382332175825628]}, "2": {"fourier": [33.23478399246669... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.025615, -0.088706, -0.013248, 0.536965, 0.055714], [0.571408, 0.0... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6802957057952881, "train_acc": 0.58, "val_loss": 0.7035270929336548, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6776938736438751, "train_acc": 0.58, "val_loss": 0.6256744861602783, "val... |
145 | {"target_pattern": "alternating", "degraded_accuracy": 0.52, "improved_accuracy": 0.96, "improvement": 0.43999999999999995, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 3927, "learning_rate": 0.0527249493... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.0863,
0.82835,
0.402271,
-0.404393,
... | alternating | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.0863,
0.82835,
0.402271,
-0.404393,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [35.10847901491433, 36.310427623300015, 37.67072268260384, 38.609032345096054, 95.13946813344955]}, "1": {"fourier": [25.943664862341333, 26.52589853683534, 31.035389112735203, 35.01410804715391, 97.71554603427649]}, "2": {"fourier": [26.77689177531036,... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.0863, 0.82835, 0.402271, -0.404393, -0.6243], [-0.2491, -0.396534,... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6906150877475739, "train_acc": 0.575, "val_loss": 0.6751904487609863, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6319146752357483, "train_acc": 0.575, "val_loss": 0.5783737301826477, "v... |
146 | {"target_pattern": "mountain_pattern", "degraded_accuracy": 0.48, "improved_accuracy": 0.9, "improvement": 0.42000000000000004, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 7363, "learning_rate": 0.072929... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.745017,
1.119691,
-0.358898,
-0.190121,
... | mountain_pattern | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.745017,
1.119691,
-0.358898,
-0.190121,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [43.27643155649337, 43.78620829801908, 48.61661630962446, 51.21267548205428, 197.69203394651413]}, "1": {"fourier": [38.85009332367159, 40.14913598447904, 48.83325797091746, 51.35169087448666, 364.7963252067566]}, "2": {"fourier": [36.0973119970476, 36.... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.745017, 1.119691, -0.358898, -0.190121, 0.459042], [-0.835642, -0.... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7026205360889435, "train_acc": 0.495, "val_loss": 0.7293450832366943, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6667003333568573, "train_acc": 0.585, "val_loss": 0.7121708393096924, "v... |
147 | {"target_pattern": "increasing_pairs", "degraded_accuracy": 0.38, "improved_accuracy": 0.8, "improvement": 0.42000000000000004, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 8480, "learning_rate": 0.038033... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.270269,
0.500944,
0.169323,
0.282271,
... | increasing_pairs | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.270269,
0.500944,
0.169323,
0.282271,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [26.125817222948967, 29.784503664142225, 31.439336932138747, 34.5342353659226, 133.7690106034279]}, "1": {"fourier": [25.763818626424232, 26.290377276913485, 27.363456909901327, 28.227962535186986, 52.4073206409812]}, "2": {"fourier": [30.49577212771904... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.270269, 0.500944, 0.169323, 0.282271, -0.498848], [-0.570714, 0.20... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6803462505340576, "train_acc": 0.615, "val_loss": 0.7398225665092468, "val_acc": 0.38}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6487970650196075, "train_acc": 0.615, "val_loss": 0.7601310610771179, "v... |
148 | {"target_pattern": "no_repeats", "degraded_accuracy": 0.44, "improved_accuracy": 0.78, "improvement": 0.34, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 2833, "learning_rate": 0.07298892327090173, "batch_... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
1.095941,
0.643788,
-0.132765,
-0.219212,
... | no_repeats | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
1.095941,
0.643788,
-0.132765,
-0.219212,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [43.97769187775243, 46.357543807030595, 46.57662510708164, 52.615194224383266, 81.09137439727783]}, "1": {"fourier": [30.212810632690147, 30.401918660003595, 33.291378724273706, 33.574901971102626, 178.5553069114685]}, "2": {"fourier": [55.8503174546516... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[1.095941, 0.643788, -0.132765, -0.219212, -0.64426], [0.733904, 0.47... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7100630402565002, "train_acc": 0.43, "val_loss": 0.7112048864364624, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6773096323013306, "train_acc": 0.58, "val_loss": 0.7574194073677063, "val... |
149 | {"target_pattern": "decreasing_pairs", "degraded_accuracy": 0.6, "improved_accuracy": 0.94, "improvement": 0.33999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 3199, "learning_rate": 0.024154... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.779259,
0.352849,
-0.069718,
-0.004358,
... | decreasing_pairs | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.779259,
0.352849,
-0.069718,
-0.004358,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [30.024743258689977, 30.043488912476313, 30.754808479909272, 31.813751454827894, 104.51956190168858]}, "1": {"fourier": [25.974005804545193, 31.93299924805926, 32.36152536516283, 32.74477319238121, 260.31758174300194]}, "2": {"fourier": [23.374450837119... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.779259, 0.352849, -0.069718, -0.004358, -0.009006], [-0.140716, -0... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6900294423103333, "train_acc": 0.555, "val_loss": 0.6800796389579773, "val_acc": 0.6}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6802507936954498, "train_acc": 0.565, "val_loss": 0.6664246916770935, "va... |
150 | {"target_pattern": "sorted_descending", "degraded_accuracy": 0.52, "improved_accuracy": 0.96, "improvement": 0.43999999999999995, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 2514, "learning_rate": 0.0746... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.980382,
0.457377,
0.326617,
0.136122,
... | sorted_descending | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.980382,
0.457377,
0.326617,
0.136122,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [28.216195805599472, 30.392037751896915, 36.16459510215227, 43.16573022267917, 95.80606493353844]}, "1": {"fourier": [30.395628882339807, 30.465485144930565, 31.563010044868804, 37.318949970573144, 43.784887060131105]}, "2": {"fourier": [27.156800069280... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.980382, 0.457377, 0.326617, 0.136122, 0.172998], [-0.673367, 0.01... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6913122534751892, "train_acc": 0.525, "val_loss": 0.7302456498146057, "val_acc": 0.36}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6397255659103394, "train_acc": 0.615, "val_loss": 0.8005284070968628, "v... |
151 | {"target_pattern": "vowel_consonant", "degraded_accuracy": 0.46, "improved_accuracy": 0.76, "improvement": 0.3, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 9386, "learning_rate": 0.0890168344617447, "bat... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.375251,
-0.140427,
-0.353526,
-0.207879... | vowel_consonant | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.375251,
-0.140427,
-0.353526,
-0.207879... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [28.423596639397623, 28.534324056723875, 33.544958894537245, 36.85086923674551, 217.87260799622163]}, "1": {"fourier": [22.919859408691796, 24.600365443370883, 27.135286846908638, 27.17353941835898, 142.52818357944489]}, "2": {"fourier": [23.73233458367... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.375251, -0.140427, -0.353526, -0.207879, -0.419095], [-0.451016, ... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6767901480197906, "train_acc": 0.57, "val_loss": 0.8233134746551514, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.7058750092983246, "train_acc": 0.57, "val_loss": 0.7064361572265625, "val... |
152 | {"target_pattern": "starts_with", "degraded_accuracy": 0.5, "improved_accuracy": 0.84, "improvement": 0.33999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 7251, "learning_rate": 0.02315459296... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.408908,
-0.354977,
0.091575,
-0.584336,... | starts_with | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.408908,
-0.354977,
0.091575,
-0.584336,... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [28.53979226891862, 29.826958722563845, 37.028717535253, 40.142653388180214, 237.21545758843422]}, "1": {"fourier": [24.568559174632345, 26.282118754405403, 26.922211349797088, 28.03835223677997, 41.21376892924309]}, "2": {"fourier": [18.949514959667315... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.408908, -0.354977, 0.091575, -0.584336, -0.237557], [-0.728326, 0... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6951102614402771, "train_acc": 0.425, "val_loss": 0.691853404045105, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.686558723449707, "train_acc": 0.585, "val_loss": 0.6925609111785889, "val_... |
153 | {"target_pattern": "sorted_ascending", "degraded_accuracy": 0.56, "improved_accuracy": 0.86, "improvement": 0.29999999999999993, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 7295, "learning_rate": 0.07046... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.449728,
-0.169546,
-0.409982,
-0.105011... | sorted_ascending | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.449728,
-0.169546,
-0.409982,
-0.105011... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [26.407857735579388, 26.912477516889886, 28.072164950622522, 31.743899971312814, 228.201089322567]}, "1": {"fourier": [14.94617700609246, 16.187008119063908, 17.19238265928459, 19.440824841567093, 25.41202399134636]}, "2": {"fourier": [31.99305455706111... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.449728, -0.169546, -0.409982, -0.105011, -0.099766], [-0.233489, ... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7085340619087219, "train_acc": 0.45, "val_loss": 0.6911552548408508, "val_acc": 0.58}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6775998473167419, "train_acc": 0.635, "val_loss": 0.6477239727973938, "va... |
154 | {"target_pattern": "sorted_ascending", "degraded_accuracy": 0.72, "improved_accuracy": 0.88, "improvement": 0.16000000000000003, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 4603, "learning_rate": 0.09915... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.8097,
-1.376017,
-0.278698,
-0.171199,
... | sorted_ascending | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.8097,
-1.376017,
-0.278698,
-0.171199,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [61.17659576137384, 65.04048966381433, 66.19175378545502, 74.62379066288477, 342.82217741012573]}, "1": {"fourier": [41.733179689071044, 46.184074841490975, 46.84051114378096, 47.64812066842169, 436.9591136574745]}, "2": {"fourier": [34.96337056858801, ... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.8097, -1.376017, -0.278698, -0.171199, 0.554927], [0.147593, -0.4... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6701457798480988, "train_acc": 0.6, "val_loss": 0.6997593641281128, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.636711448431015, "train_acc": 0.635, "val_loss": 0.6180023550987244, "val_a... |
155 | {"target_pattern": "sorted_descending", "degraded_accuracy": 0.78, "improved_accuracy": 0.94, "improvement": 0.15999999999999992, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 4975, "learning_rate": 0.0590... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.722979,
0.28585,
-0.276254,
-0.40535,
... | sorted_descending | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.722979,
0.28585,
-0.276254,
-0.40535,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [26.71585207083176, 29.018447489636376, 30.05333811028203, 30.938236473931596, 31.309248151425233]}, "1": {"fourier": [23.623328878641285, 23.82861737098343, 23.996799327740014, 27.263961841438125, 32.44509860873222]}, "2": {"fourier": [19.8723494647477... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.722979, 0.28585, -0.276254, -0.40535, -0.025795], [-0.009251, -0.5... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6748575866222382, "train_acc": 0.605, "val_loss": 0.6388840079307556, "val_acc": 0.78}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6141875386238098, "train_acc": 0.775, "val_loss": 0.5567623376846313, "v... |
156 | {"target_pattern": "contains_abc", "degraded_accuracy": 0.58, "improved_accuracy": 0.94, "improvement": 0.36, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 6978, "learning_rate": 0.07890678712976501, "batc... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.34941,
0.278587,
0.122783,
-0.098738,
... | contains_abc | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.34941,
0.278587,
0.122783,
-0.098738,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [13.123795867558208, 13.257807300784055, 13.685255652604994, 17.806236143524718, 42.631830990314484]}, "1": {"fourier": [51.01445604750044, 51.91036664953105, 54.45355884959638, 56.50016719619567, 222.38517570495605]}, "2": {"fourier": [30.2584339749173... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.34941, 0.278587, 0.122783, -0.098738, -0.160884], [1.165638, 0.43... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6929658651351929, "train_acc": 0.535, "val_loss": 0.6806800961494446, "val_acc": 0.58}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6842721700668335, "train_acc": 0.56, "val_loss": 0.6786693334579468, "va... |
157 | {"target_pattern": "sorted_ascending", "degraded_accuracy": 0.64, "improved_accuracy": 0.84, "improvement": 0.19999999999999996, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 4142, "learning_rate": 0.01462... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.510032,
0.096825,
-0.291179,
-0.045041,... | sorted_ascending | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.510032,
0.096825,
-0.291179,
-0.045041,... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [21.577397388376504, 21.814255906503004, 25.860155633900774, 28.377952808973813, 32.766999922692776]}, "1": {"fourier": [22.833965240738518, 24.284115440629282, 24.30704623323577, 26.62796785265345, 28.41347694405732]}, "2": {"fourier": [12.949327584909... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.510032, 0.096825, -0.291179, -0.045041, 0.579934], [0.18312, -0.6... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6917845010757446, "train_acc": 0.565, "val_loss": 0.6885592937469482, "val_acc": 0.54}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6775557398796082, "train_acc": 0.565, "val_loss": 0.6788877844810486, "v... |
158 | {"target_pattern": "sorted_ascending", "degraded_accuracy": 0.46, "improved_accuracy": 0.84, "improvement": 0.37999999999999995, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 8095, "learning_rate": 0.06783... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.13036,
0.184671,
0.301029,
-0.290128,
... | sorted_ascending | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.13036,
0.184671,
0.301029,
-0.290128,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [15.695833176909618, 16.70612566761893, 18.501482077521004, 22.523135089098425, 30.116217598319054]}, "1": {"fourier": [29.440271655583384, 31.572040401606838, 33.240757958890384, 38.49456631380392, 268.77119195461273]}, "2": {"fourier": [20.56136494056... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.13036, 0.184671, 0.301029, -0.290128, 0.022682], [-0.391835, -0.60... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.701655924320221, "train_acc": 0.425, "val_loss": 0.7090466022491455, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6777268648147583, "train_acc": 0.57, "val_loss": 0.7258279323577881, "val... |
159 | {"target_pattern": "mountain_pattern", "degraded_accuracy": 0.54, "improved_accuracy": 0.86, "improvement": 0.31999999999999995, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 2034, "learning_rate": 0.07562... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.688057,
1.130213,
0.347183,
-0.320602,
... | mountain_pattern | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.688057,
1.130213,
0.347183,
-0.320602,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [48.13033941477402, 49.02975836877101, 56.30468827530153, 58.16619428200467, 349.1941435933113]}, "1": {"fourier": [49.239250535008104, 49.31648881680541, 53.722042595622995, 59.96352882245237, 276.1986062526703]}, "2": {"fourier": [23.107408859753416, ... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.688057, 1.130213, 0.347183, -0.320602, 0.329064], [0.984006, 0.879... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.684227705001831, "train_acc": 0.575, "val_loss": 0.6849209070205688, "val_acc": 0.54}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6717137396335602, "train_acc": 0.575, "val_loss": 0.6372581720352173, "va... |
160 | {"target_pattern": "palindrome", "degraded_accuracy": 0.48, "improved_accuracy": 0.96, "improvement": 0.48, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 6842, "learning_rate": 0.06969084560592119, "batch_... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.548112,
0.303454,
-0.295365,
0.435352,
... | palindrome | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.548112,
0.303454,
-0.295365,
0.435352,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [31.706298012913184, 33.55221245121903, 34.14076647403994, 35.74080127524459, 41.92449817366556]}, "1": {"fourier": [27.460182632460555, 31.743722984589162, 37.26534878971987, 39.66141348794836, 135.21742951869965]}, "2": {"fourier": [21.354682130252623... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.548112, 0.303454, -0.295365, 0.435352, -0.471417], [0.521158, -0.... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.679366797208786, "train_acc": 0.585, "val_loss": 0.7042234539985657, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6713444292545319, "train_acc": 0.585, "val_loss": 0.66852205991745, "val_... |
161 | {"target_pattern": "sorted_ascending", "degraded_accuracy": 0.56, "improved_accuracy": 0.96, "improvement": 0.3999999999999999, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 7155, "learning_rate": 0.028166... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.364249,
0.56803,
0.510184,
-0.228732,
... | sorted_ascending | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.364249,
0.56803,
0.510184,
-0.228732,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [32.41789879596842, 32.83455733804997, 35.812690243447356, 36.88908076347919, 165.52679416537285]}, "1": {"fourier": [34.98626357734636, 36.35930433158818, 38.507511562683, 43.43199250203135, 206.7774624377489]}, "2": {"fourier": [20.547428095983307, 20... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.364249, 0.56803, 0.510184, -0.228732, -0.205838], [0.410046, 0.799... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7106436491012573, "train_acc": 0.46, "val_loss": 0.7020980715751648, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6971960365772247, "train_acc": 0.46, "val_loss": 0.6910852193832397, "val... |
162 | {"target_pattern": "increasing_pairs", "degraded_accuracy": 0.5, "improved_accuracy": 0.8, "improvement": 0.30000000000000004, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 4892, "learning_rate": 0.0231403... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.049535,
0.46526,
0.491624,
0.455259,
... | increasing_pairs | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.049535,
0.46526,
0.491624,
0.455259,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [29.26056461864668, 31.8615378182432, 33.27830816606757, 37.59028542873744, 180.70844539999962]}, "1": {"fourier": [13.643268596683436, 16.69731075663367, 17.574372371271206, 19.30297079579796, 26.138835415244102]}, "2": {"fourier": [25.529390436091948,... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.049535, 0.46526, 0.491624, 0.455259, -0.523068], [-0.079862, -0.17... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.706873744726181, "train_acc": 0.435, "val_loss": 0.6927029490470886, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.694275438785553, "train_acc": 0.415, "val_loss": 0.6865913271903992, "val_... |
163 | {"target_pattern": "decreasing_pairs", "degraded_accuracy": 0.62, "improved_accuracy": 0.9, "improvement": 0.28, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 5933, "learning_rate": 0.018050919124068178, "... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.297275,
0.018687,
0.651941,
0.263651,
... | decreasing_pairs | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.297275,
0.018687,
0.651941,
0.263651,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [40.687927091019986, 41.31615515196633, 43.83757708026694, 47.7666293505845, 349.02737748622894]}, "1": {"fourier": [17.195725014701477, 17.867870268315016, 18.676115329695566, 28.022144590353015, 37.85769882798195]}, "2": {"fourier": [22.68422797443154... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.297275, 0.018687, 0.651941, 0.263651, 0.666658], [0.004856, -0.342... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6912828981876373, "train_acc": 0.505, "val_loss": 0.6806544661521912, "val_acc": 0.62}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6927087903022766, "train_acc": 0.545, "val_loss": 0.6738318800926208, "v... |
164 | {"target_pattern": "ends_with", "degraded_accuracy": 0.44, "improved_accuracy": 0.9, "improvement": 0.46, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 1042, "learning_rate": 0.09726034588695193, "batch_si... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.064029,
-0.123541,
-0.079011,
0.534692,... | ends_with | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.064029,
-0.123541,
-0.079011,
0.534692,... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [38.610208234427844, 39.93709034966174, 40.21448611046694, 43.712474431657775, 57.37293451859029]}, "1": {"fourier": [34.84160533029748, 39.88010811083311, 39.982714360115985, 47.53498678094289, 101.79018491506577]}, "2": {"fourier": [22.612579351814777... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.064029, -0.123541, -0.079011, 0.534692, -1.341897], [-0.318831, 0... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7023096978664398, "train_acc": 0.585, "val_loss": 0.7437832355499268, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.678661435842514, "train_acc": 0.585, "val_loss": 0.6870430707931519, "va... |
165 | {"target_pattern": "no_repeats", "degraded_accuracy": 0.52, "improved_accuracy": 0.76, "improvement": 0.24, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 9821, "learning_rate": 0.09174390295093264, "batch_... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.302654,
-1.236512,
-0.056494,
-0.385377... | no_repeats | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.302654,
-1.236512,
-0.056494,
-0.385377... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [47.69256553659923, 48.79177274768009, 60.53297789365962, 61.397237019559924, 434.5967583656311]}, "1": {"fourier": [38.33324390684006, 38.85647696008052, 41.27464543718248, 46.82275585485179, 383.7865308523178]}, "2": {"fourier": [51.018837204840366, 5... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.302654, -1.236512, -0.056494, -0.385377, -0.224627], [-0.067831, ... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6956851482391357, "train_acc": 0.52, "val_loss": 0.6962504386901855, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.685852974653244, "train_acc": 0.56, "val_loss": 0.7010267376899719, "val_... |
166 | {"target_pattern": "vowel_consonant", "degraded_accuracy": 0.44, "improved_accuracy": 0.76, "improvement": 0.32, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 1382, "learning_rate": 0.05187387414183355, "b... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.740263,
-0.253834,
-0.6548,
0.188875,
... | vowel_consonant | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.740263,
-0.253834,
-0.6548,
0.188875,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [24.49364367668597, 24.725798665310982, 25.301986024281973, 25.80971545629593, 28.44516001630488]}, "1": {"fourier": [20.492333884936762, 22.43569806814988, 26.615554600570118, 27.074061482693683, 28.826715765533383]}, "2": {"fourier": [30.5529431934851... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.740263, -0.253834, -0.6548, 0.188875, -0.022561], [-0.209526, 0.49... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6831883788108826, "train_acc": 0.575, "val_loss": 0.7125657796859741, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6834223866462708, "train_acc": 0.575, "val_loss": 0.7109096050262451, "v... |
167 | {"target_pattern": "mountain_pattern", "degraded_accuracy": 0.5, "improved_accuracy": 0.92, "improvement": 0.42000000000000004, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 1114, "learning_rate": 0.048036... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.728398,
0.606771,
-0.252436,
-0.288649,
... | mountain_pattern | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.728398,
0.606771,
-0.252436,
-0.288649,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [31.338005701991342, 33.22883978174774, 33.394867961661674, 33.85818313294939, 133.92018243670464]}, "1": {"fourier": [26.414473471818994, 26.770168631884083, 27.024825506766582, 29.60740974146951, 133.3876482397318]}, "2": {"fourier": [14.8859237381541... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.728398, 0.606771, -0.252436, -0.288649, 0.086219], [0.593334, 0.41... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6758647263050079, "train_acc": 0.63, "val_loss": 0.6987246870994568, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6674523651599884, "train_acc": 0.58, "val_loss": 0.6821327209472656, "val_... |
168 | {"target_pattern": "vowel_consonant", "degraded_accuracy": 0.6, "improved_accuracy": 0.78, "improvement": 0.18000000000000005, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 7344, "learning_rate": 0.0559301... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.179994,
-0.447404,
-0.188561,
-0.802475,... | vowel_consonant | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.179994,
-0.447404,
-0.188561,
-0.802475,... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [33.45380530575825, 33.861861124477606, 36.24574696126877, 40.71631551326352, 312.9945519864559]}, "1": {"fourier": [18.11860852698139, 19.378129161903924, 21.45222050503481, 28.81265215660579, 65.80546139925718]}, "2": {"fourier": [27.15438084632872, 2... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.179994, -0.447404, -0.188561, -0.802475, -0.082209], [-0.604747, 0... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6874465644359589, "train_acc": 0.555, "val_loss": 0.6779612898826599, "val_acc": 0.6}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6879532039165497, "train_acc": 0.555, "val_loss": 0.6737368702888489, "va... |
169 | {"target_pattern": "contains_abc", "degraded_accuracy": 0.42, "improved_accuracy": 0.96, "improvement": 0.54, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 7709, "learning_rate": 0.024227013880316017, "bat... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.585353,
-0.134821,
0.158435,
0.349512,
... | contains_abc | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.585353,
-0.134821,
0.158435,
0.349512,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [21.050890771661287, 25.430043753022453, 26.248240881663744, 27.887123363932304, 156.27987352013588]}, "1": {"fourier": [11.014975974760329, 11.49023017992346, 12.538439988053296, 13.51410446806229, 51.44091895222664]}, "2": {"fourier": [21.885299468273... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.585353, -0.134821, 0.158435, 0.349512, -0.040441], [0.091945, -0.2... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6742144227027893, "train_acc": 0.585, "val_loss": 0.7024133205413818, "val_acc": 0.4}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6372706890106201, "train_acc": 0.585, "val_loss": 0.701091468334198, "val... |
170 | {"target_pattern": "contains_abc", "degraded_accuracy": 0.58, "improved_accuracy": 0.96, "improvement": 0.38, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 6311, "learning_rate": 0.034346534628574066, "bat... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.804652,
0.120808,
0.178194,
0.473784,
... | contains_abc | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.804652,
0.120808,
0.178194,
0.473784,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [36.68072585491907, 37.02115268996529, 38.42363839150773, 42.425128569433795, 240.22711702249944]}, "1": {"fourier": [22.957598248589257, 23.17768936298842, 23.311900733598797, 24.954423813443924, 64.33327533304691]}, "2": {"fourier": [17.29597279195178... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.804652, 0.120808, 0.178194, 0.473784, 0.058726], [0.404172, 0.4740... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6886162161827087, "train_acc": 0.555, "val_loss": 0.6754939556121826, "val_acc": 0.58}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6831688582897186, "train_acc": 0.555, "val_loss": 0.6377788782119751, "v... |
171 | {"target_pattern": "no_repeats", "degraded_accuracy": 0.44, "improved_accuracy": 0.8, "improvement": 0.36000000000000004, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 8444, "learning_rate": 0.073960924104... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.488027,
-0.326751,
-0.370066,
0.154113,... | no_repeats | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.488027,
-0.326751,
-0.370066,
0.154113,... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [31.74303916745913, 33.305578910846066, 34.43891408483659, 37.65404251450464, 215.74509140849113]}, "1": {"fourier": [25.246808462404292, 26.447561571593603, 28.179401530704627, 31.645655318433437, 137.3109214603901]}, "2": {"fourier": [24.2499155412483... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.488027, -0.326751, -0.370066, 0.154113, -0.305586], [0.628892, 0.... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6794262230396271, "train_acc": 0.585, "val_loss": 0.7209688425064087, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6505645513534546, "train_acc": 0.585, "val_loss": 0.636088490486145, "va... |
172 | {"target_pattern": "sorted_descending", "degraded_accuracy": 0.48, "improved_accuracy": 0.92, "improvement": 0.44000000000000006, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 9163, "learning_rate": 0.0615... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.743369,
-0.020298,
0.324209,
0.293363,
... | sorted_descending | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.743369,
-0.020298,
0.324209,
0.293363,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [26.43911735853594, 28.223543270325745, 30.45212486173484, 30.641787138123586, 121.15670773386955]}, "1": {"fourier": [16.074562416210863, 17.31897404692352, 17.543874874324842, 19.83595230409563, 158.03090652823448]}, "2": {"fourier": [19.7116818839439... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.743369, -0.020298, 0.324209, 0.293363, 0.299127], [-0.17789, -0.0... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6834456622600555, "train_acc": 0.56, "val_loss": 0.7223269939422607, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6832236647605896, "train_acc": 0.56, "val_loss": 0.6693869829177856, "val... |
173 | {"target_pattern": "contains_abc", "degraded_accuracy": 0.44, "improved_accuracy": 0.92, "improvement": 0.48000000000000004, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 4691, "learning_rate": 0.011065651... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.241775,
-0.028336,
-0.360539,
-0.341575... | contains_abc | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.241775,
-0.028336,
-0.360539,
-0.341575... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [19.477526999355895, 20.022104150274608, 20.072855251148734, 22.368715858086937, 193.8225286602974]}, "1": {"fourier": [18.932616846786104, 18.95113123385697, 20.302162885129242, 28.031757677262444, 33.84503582119942]}, "2": {"fourier": [13.208599075643... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.241775, -0.028336, -0.360539, -0.341575, 0.05857], [-0.469828, -0... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6698768734931946, "train_acc": 0.585, "val_loss": 0.7239654064178467, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6671218276023865, "train_acc": 0.585, "val_loss": 0.7181982398033142, "v... |
174 | {"target_pattern": "starts_with", "degraded_accuracy": 0.56, "improved_accuracy": 0.84, "improvement": 0.2799999999999999, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 1842, "learning_rate": 0.07888729943... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
1.391834,
0.252165,
-0.798856,
-0.821558,
... | starts_with | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
1.391834,
0.252165,
-0.798856,
-0.821558,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [54.42387501873139, 57.970653041605566, 58.88118346252537, 60.47100924885245, 132.10220340639353]}, "1": {"fourier": [55.26348110991173, 56.83610774130676, 66.7730999719722, 76.76024681049294, 258.3204029202461]}, "2": {"fourier": [44.226461354754726, 4... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[1.391834, 0.252165, -0.798856, -0.821558, -0.14083], [-1.349774, 0.6... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7023221552371979, "train_acc": 0.445, "val_loss": 0.688035249710083, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6889393627643585, "train_acc": 0.555, "val_loss": 0.6862246990203857, "va... |
175 | {"target_pattern": "alternating", "degraded_accuracy": 0.54, "improved_accuracy": 1.0, "improvement": 0.45999999999999996, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 7331, "learning_rate": 0.06804554033... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.532331,
-0.238022,
-0.284461,
0.160575,... | alternating | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.532331,
-0.238022,
-0.284461,
0.160575,... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [25.923268608915457, 26.114886209687736, 28.951274614905365, 34.06492243385653, 66.64271585643291]}, "1": {"fourier": [19.400864754749293, 19.906606805003072, 24.688645885926988, 25.867484949326236, 167.97137373685837]}, "2": {"fourier": [76.28006030348... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.532331, -0.238022, -0.284461, 0.160575, 0.466064], [-0.388087, -0... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6790795028209686, "train_acc": 0.595, "val_loss": 0.7424247860908508, "val_acc": 0.36}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6557000875473022, "train_acc": 0.595, "val_loss": 0.6486800312995911, "v... |
176 | {"target_pattern": "has_majority", "degraded_accuracy": 0.54, "improved_accuracy": 0.76, "improvement": 0.21999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 3005, "learning_rate": 0.013673192... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.382977,
0.560835,
-0.132999,
0.13399,
... | has_majority | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.382977,
0.560835,
-0.132999,
0.13399,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [23.163966837490147, 24.65210336323258, 29.657183851557555, 29.903926594474925, 170.94965951144695]}, "1": {"fourier": [23.309886344237754, 24.08167682469513, 25.36325822621137, 27.960044110968408, 154.50639390945435]}, "2": {"fourier": [25.072847326959... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.382977, 0.560835, -0.132999, 0.13399, 0.088323], [-0.050069, 0.382... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6951550245285034, "train_acc": 0.455, "val_loss": 0.6849552989006042, "val_acc": 0.54}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6853551268577576, "train_acc": 0.57, "val_loss": 0.6747843027114868, "va... |
177 | {"target_pattern": "starts_with", "degraded_accuracy": 0.44, "improved_accuracy": 0.82, "improvement": 0.37999999999999995, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 4806, "learning_rate": 0.0937989991... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.013908,
-0.082453,
-0.05609,
-0.070511,... | starts_with | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.013908,
-0.082453,
-0.05609,
-0.070511,... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [20.856349872564113, 20.90910137033157, 26.45961368947399, 32.13128097936399, 156.34072887897491]}, "1": {"fourier": [23.747025885708748, 28.33152463322241, 30.8044322166205, 35.46705301057289, 39.57197976112366]}, "2": {"fourier": [42.32017095456571, 4... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.013908, -0.082453, -0.05609, -0.070511, -0.697465], [-0.674114, 0... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6839249134063721, "train_acc": 0.575, "val_loss": 0.7072936296463013, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6710412800312042, "train_acc": 0.58, "val_loss": 0.6352964639663696, "va... |
178 | {"target_pattern": "contains_abc", "degraded_accuracy": 0.58, "improved_accuracy": 0.9, "improvement": 0.32000000000000006, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 3558, "learning_rate": 0.0547343000... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.53495,
-0.022753,
-0.318458,
-0.052995,... | contains_abc | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.53495,
-0.022753,
-0.318458,
-0.052995,... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [22.09162402214959, 23.951786464561476, 28.05575514879109, 29.795472722141977, 91.18617241084576]}, "1": {"fourier": [36.64530307000071, 40.098432533064546, 41.86439322119148, 42.53426395756736, 227.013718880713]}, "2": {"fourier": [32.81328789698789, 3... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.53495, -0.022753, -0.318458, -0.052995, 0.447821], [-0.672104, -0... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6909677088260651, "train_acc": 0.5, "val_loss": 0.6640603542327881, "val_acc": 0.58}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6745944917201996, "train_acc": 0.54, "val_loss": 0.5653865933418274, "val_... |
179 | {"target_pattern": "increasing_pairs", "degraded_accuracy": 0.48, "improved_accuracy": 0.86, "improvement": 0.38, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 3877, "learning_rate": 0.03952719534788068, "... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.108231,
-0.294382,
-0.334253,
-0.257182,... | increasing_pairs | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.108231,
-0.294382,
-0.334253,
-0.257182,... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [25.010945596547824, 25.307053640554667, 25.627437009895974, 25.934901128208203, 231.1444329917431]}, "1": {"fourier": [27.977917739982647, 28.54369000317495, 38.261254436337914, 38.528994187137194, 96.14064142107964]}, "2": {"fourier": [23.579407752329... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.108231, -0.294382, -0.334253, -0.257182, -0.443174], [-0.762994, 0... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7211582958698273, "train_acc": 0.425, "val_loss": 0.6911683082580566, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6896977126598358, "train_acc": 0.53, "val_loss": 0.6855250597000122, "va... |
180 | {"target_pattern": "has_majority", "degraded_accuracy": 0.6, "improved_accuracy": 0.86, "improvement": 0.26, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 3573, "learning_rate": 0.07375979395838758, "batch... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.0614,
0.338909,
-1.344114,
-0.888656,
... | has_majority | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.0614,
0.338909,
-1.344114,
-0.888656,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [42.64830973969579, 47.57155290584132, 48.435466073628874, 52.92607886763466, 355.5571211576462]}, "1": {"fourier": [25.69379847994084, 26.239602129332194, 32.5277080230113, 32.54602657685628, 148.9270842373371]}, "2": {"fourier": [27.111612350936642, 2... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.0614, 0.338909, -1.344114, -0.888656, 0.358245], [-0.260465, -0.5... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7193705439567566, "train_acc": 0.425, "val_loss": 0.7006389498710632, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6904239654541016, "train_acc": 0.575, "val_loss": 0.7352359890937805, "v... |
181 | {"target_pattern": "ends_with", "degraded_accuracy": 0.66, "improved_accuracy": 0.86, "improvement": 0.19999999999999996, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 2509, "learning_rate": 0.032530061625... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.466008,
0.148428,
0.202782,
-0.405413,
... | ends_with | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.466008,
0.148428,
0.202782,
-0.405413,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [26.653561061642165, 29.402583151630513, 32.4020951258028, 32.942054961335906, 64.46668407320976]}, "1": {"fourier": [20.524275786332698, 24.133182378752522, 25.85294837025771, 27.858313103108685, 139.12126956880093]}, "2": {"fourier": [20.7530107424948... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.466008, 0.148428, 0.202782, -0.405413, 0.366528], [-0.490222, 0.05... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6837392747402191, "train_acc": 0.57, "val_loss": 0.7026306986808777, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6786130964756012, "train_acc": 0.57, "val_loss": 0.6951879262924194, "val... |
182 | {"target_pattern": "ends_with", "degraded_accuracy": 0.38, "improved_accuracy": 0.82, "improvement": 0.43999999999999995, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 2398, "learning_rate": 0.057330214255... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.338116,
-0.136157,
-0.106951,
-0.072038... | ends_with | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.338116,
-0.136157,
-0.106951,
-0.072038... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [28.11892831715294, 32.85720058180647, 34.18598767506779, 41.68776018767932, 49.34857985377312]}, "1": {"fourier": [29.15226134130372, 30.73935112619725, 31.788793311036727, 34.97494787495402, 250.84686130285263]}, "2": {"fourier": [36.48272031850612, 4... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.338116, -0.136157, -0.106951, -0.072038, 1.107106], [0.395956, -0... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6806655824184418, "train_acc": 0.61, "val_loss": 0.7444833517074585, "val_acc": 0.38}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6122855842113495, "train_acc": 0.61, "val_loss": 0.7137806415557861, "val... |
183 | {"target_pattern": "vowel_consonant", "degraded_accuracy": 0.42, "improved_accuracy": 0.72, "improvement": 0.3, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 8397, "learning_rate": 0.06117443422661078, "ba... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
1.023185,
-0.522558,
-0.197747,
0.147318,
... | vowel_consonant | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
1.023185,
-0.522558,
-0.197747,
0.147318,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [34.355706786992435, 34.42675825901504, 34.745800598725125, 49.38428013596262, 76.97277177870274]}, "1": {"fourier": [28.51560855561715, 34.236607136537415, 37.31052476436844, 38.69360527655102, 82.14052000641823]}, "2": {"fourier": [37.447709025015016,... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[1.023185, -0.522558, -0.197747, 0.147318, 0.268089], [0.92183, -0.67... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6839696168899536, "train_acc": 0.53, "val_loss": 0.7764115333557129, "val_acc": 0.42}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.7200573682785034, "train_acc": 0.575, "val_loss": 0.7717140913009644, "va... |
184 | {"target_pattern": "ends_with", "degraded_accuracy": 0.46, "improved_accuracy": 0.92, "improvement": 0.46, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 3837, "learning_rate": 0.05264364908037876, "batch_s... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.335304,
-0.119893,
-0.023935,
-0.004384,... | ends_with | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.335304,
-0.119893,
-0.023935,
-0.004384,... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [22.754447207704764, 24.403307460096606, 29.61446346187499, 30.636165401890946, 83.55475640669465]}, "1": {"fourier": [20.789483889692637, 20.867099720366276, 21.806681797292313, 26.566976580556, 96.81446667015553]}, "2": {"fourier": [32.03185217152359,... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.335304, -0.119893, -0.023935, -0.004384, 0.611604], [-0.081887, -0... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6795870959758759, "train_acc": 0.59, "val_loss": 0.7198115587234497, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6582224071025848, "train_acc": 0.59, "val_loss": 0.6225812435150146, "val... |
185 | {"target_pattern": "no_repeats", "degraded_accuracy": 0.58, "improved_accuracy": 0.86, "improvement": 0.28, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 1533, "learning_rate": 0.04127089993503693, "batch_... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.136523,
-0.312481,
0.293771,
0.075298,
... | no_repeats | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.136523,
-0.312481,
0.293771,
0.075298,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [19.947911214321184, 21.285453300572406, 22.612259841815142, 28.716858266382165, 60.25325921177864]}, "1": {"fourier": [8.802441646705063, 9.278304235098867, 9.788487866520882, 10.595747941510151, 11.430184685371186]}, "2": {"fourier": [9.16305726471949... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.136523, -0.312481, 0.293771, 0.075298, 0.509622], [0.043168, 0.03... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6869387030601501, "train_acc": 0.57, "val_loss": 0.7017369866371155, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.680211991071701, "train_acc": 0.57, "val_loss": 0.6588588953018188, "val_a... |
186 | {"target_pattern": "alternating", "degraded_accuracy": 0.48, "improved_accuracy": 0.86, "improvement": 0.38, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 8297, "learning_rate": 0.07745571578828822, "batch... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.541438,
-0.255604,
-0.385806,
-0.183652,... | alternating | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.541438,
-0.255604,
-0.385806,
-0.183652,... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [20.247098015805193, 20.39494118240429, 21.91623560574761, 24.63550188237015, 120.79715177416801]}, "1": {"fourier": [78.01953979058891, 78.6201877105837, 79.3750583215147, 80.1711377877772, 263.31004543602467]}, "2": {"fourier": [39.8761984891456, 41.1... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.541438, -0.255604, -0.385806, -0.183652, 0.019069], [0.842665, -1.... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7017310559749603, "train_acc": 0.445, "val_loss": 0.7034087181091309, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6850934624671936, "train_acc": 0.585, "val_loss": 0.7345874309539795, "v... |
187 | {"target_pattern": "decreasing_pairs", "degraded_accuracy": 0.46, "improved_accuracy": 1.0, "improvement": 0.54, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 3175, "learning_rate": 0.027312834315219497, "... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.207105,
-0.341754,
-0.084095,
-0.050617... | decreasing_pairs | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.207105,
-0.341754,
-0.084095,
-0.050617... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [14.966969688110739, 15.813917957839577, 18.065609467830974, 20.746405222847155, 143.25397090613842]}, "1": {"fourier": [20.939631901169925, 21.641457982760297, 25.13005148754686, 26.98922776596198, 31.983189549984083]}, "2": {"fourier": [13.45479257844... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.207105, -0.341754, -0.084095, -0.050617, -0.1441], [-0.202335, -0... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6816706955432892, "train_acc": 0.58, "val_loss": 0.6983689665794373, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6406709253787994, "train_acc": 0.58, "val_loss": 0.656870424747467, "val_... |
188 | {"target_pattern": "no_repeats", "degraded_accuracy": 0.7, "improved_accuracy": 0.86, "improvement": 0.16000000000000003, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 7334, "learning_rate": 0.022360110974... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.727921,
0.237062,
0.142088,
-0.122234,
... | no_repeats | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.727921,
0.237062,
0.142088,
-0.122234,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [29.117193943713136, 29.614222338023282, 31.03032785771962, 35.342721463910046, 82.1973762512207]}, "1": {"fourier": [34.80319634156026, 36.08835363851884, 36.30358464045247, 44.33527412657959, 134.01601439714432]}, "2": {"fourier": [18.51205514348233, ... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.727921, 0.237062, 0.142088, -0.122234, -0.189188], [0.879737, -0.4... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6898758411407471, "train_acc": 0.555, "val_loss": 0.6852338910102844, "val_acc": 0.54}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6778244078159332, "train_acc": 0.555, "val_loss": 0.6590856909751892, "v... |
189 | {"target_pattern": "increasing_pairs", "degraded_accuracy": 0.44, "improved_accuracy": 0.82, "improvement": 0.37999999999999995, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 4883, "learning_rate": 0.04880... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.426843,
-0.288536,
0.252762,
0.131039,
... | increasing_pairs | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.426843,
-0.288536,
0.252762,
0.131039,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [18.50876206640968, 18.833050571353365, 20.41721645044682, 21.55980146570112, 27.05099430680275]}, "1": {"fourier": [22.53223572800058, 23.015322378866646, 26.041775584039055, 27.77047808345462, 51.686200350522995]}, "2": {"fourier": [36.07651998010925,... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.426843, -0.288536, 0.252762, 0.131039, 0.201407], [0.351893, 0.05... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6912743151187897, "train_acc": 0.575, "val_loss": 0.717002272605896, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6841446757316589, "train_acc": 0.575, "val_loss": 0.7212342619895935, "va... |
190 | {"target_pattern": "sorted_ascending", "degraded_accuracy": 0.5, "improved_accuracy": 0.92, "improvement": 0.42000000000000004, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 3085, "learning_rate": 0.078083... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
1.039924,
0.416119,
0.019736,
0.657738,
... | sorted_ascending | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
1.039924,
0.416119,
0.019736,
0.657738,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [41.87567613584075, 48.517304303383455, 53.99423681080709, 56.18923108894987, 324.1534620374441]}, "1": {"fourier": [50.2841068238588, 50.30292741237067, 51.485186843980514, 52.34876363386068, 56.628417000750446]}, "2": {"fourier": [27.171681295346247, ... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[1.039924, 0.416119, 0.019736, 0.657738, -0.076786], [-0.723288, -1.2... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7048928737640381, "train_acc": 0.465, "val_loss": 0.6932936310768127, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6527444422245026, "train_acc": 0.575, "val_loss": 0.6010885238647461, "va... |
191 | {"target_pattern": "alternating", "degraded_accuracy": 0.64, "improved_accuracy": 0.98, "improvement": 0.33999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 3540, "learning_rate": 0.0465678781... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.309218,
0.270957,
0.710961,
-0.144206,
... | alternating | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.309218,
0.270957,
0.710961,
-0.144206,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [34.66981203471009, 38.93942735259752, 41.80283638295372, 43.047603101969806, 46.23019140958786]}, "1": {"fourier": [29.53563940754194, 29.71077836067047, 31.40687529814512, 31.67301824738665, 35.906798011550684]}, "2": {"fourier": [36.83293877138089, 4... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.309218, 0.270957, 0.710961, -0.144206, -0.946298], [-0.749611, -0.... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7064409554004669, "train_acc": 0.445, "val_loss": 0.6943281292915344, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.690061628818512, "train_acc": 0.505, "val_loss": 0.6805226802825928, "va... |
192 | {"target_pattern": "vowel_consonant", "degraded_accuracy": 0.6, "improved_accuracy": 0.86, "improvement": 0.26, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 4047, "learning_rate": 0.08880384957191806, "ba... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.089815,
-0.616678,
0.008204,
-0.118698,... | vowel_consonant | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.089815,
-0.616678,
0.008204,
-0.118698,... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [22.691512838339108, 22.84317654371893, 26.41752824555929, 26.481225596214703, 152.31086911261082]}, "1": {"fourier": [46.906539674090375, 51.656874241868, 51.974869875984275, 58.21926443322307, 235.821524143219]}, "2": {"fourier": [48.785424638999075, ... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.089815, -0.616678, 0.008204, -0.118698, 0.031802], [-0.194186, 1.... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7103208005428314, "train_acc": 0.45, "val_loss": 0.6861612200737, "val_acc": 0.6}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6850904226303101, "train_acc": 0.55, "val_loss": 0.6420813202857971, "val_acc... |
193 | {"target_pattern": "contains_abc", "degraded_accuracy": 0.54, "improved_accuracy": 0.98, "improvement": 0.43999999999999995, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 3765, "learning_rate": 0.027858767... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.056435,
-0.27359,
-0.438598,
-0.096046,... | contains_abc | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.056435,
-0.27359,
-0.438598,
-0.096046,... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [18.26810952170507, 18.88001303706841, 22.644530482441688, 25.039078155249943, 163.55950440652668]}, "1": {"fourier": [20.742637325946056, 20.998093497892807, 21.280025618080657, 22.75759425347487, 98.38332461565733]}, "2": {"fourier": [22.2381628221453... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.056435, -0.27359, -0.438598, -0.096046, -0.126474], [0.421058, 0.... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6754683256149292, "train_acc": 0.565, "val_loss": 0.6410923600196838, "val_acc": 0.54}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6302412748336792, "train_acc": 0.565, "val_loss": 0.5912117958068848, "v... |
194 | {"target_pattern": "starts_with", "degraded_accuracy": 0.52, "improved_accuracy": 0.68, "improvement": 0.16000000000000003, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 2156, "learning_rate": 0.0676011731... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.034041,
0.515673,
0.220254,
0.008415,
... | starts_with | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.034041,
0.515673,
0.220254,
0.008415,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [18.442635758768184, 18.722905390235606, 22.15128103276273, 22.565935253422428, 139.70335167646408]}, "1": {"fourier": [24.240467544573843, 24.370244686151338, 25.111580064025617, 27.81066436564921, 92.98933988809586]}, "2": {"fourier": [23.423998198157... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.034041, 0.515673, 0.220254, 0.008415, -0.267326], [0.630086, 0.29... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6928465962409973, "train_acc": 0.485, "val_loss": 0.6897555589675903, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6492462158203125, "train_acc": 0.565, "val_loss": 0.5960437655448914, "v... |
195 | {"target_pattern": "vowel_consonant", "degraded_accuracy": 0.68, "improved_accuracy": 0.86, "improvement": 0.17999999999999994, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 1568, "learning_rate": 0.022102... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.027356,
0.482693,
0.143212,
-0.141734,
... | vowel_consonant | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.027356,
0.482693,
0.143212,
-0.141734,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [14.097303885067669, 14.619883253638534, 17.43652260207291, 21.4969920298244, 110.82385991513729]}, "1": {"fourier": [30.436229575794645, 30.85317779725459, 30.926207668060787, 36.25348541469305, 172.32867795228958]}, "2": {"fourier": [17.55206569371395... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.027356, 0.482693, 0.143212, -0.141734, 0.231328], [0.354333, 0.54... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6839462518692017, "train_acc": 0.565, "val_loss": 0.7008424401283264, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6869947612285614, "train_acc": 0.565, "val_loss": 0.7009251117706299, "va... |
196 | {"target_pattern": "vowel_consonant", "degraded_accuracy": 0.64, "improved_accuracy": 0.9, "improvement": 0.26, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 1010, "learning_rate": 0.0728048009441041, "bat... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.110556,
0.356402,
0.250595,
-0.203625,
... | vowel_consonant | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.110556,
0.356402,
0.250595,
-0.203625,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [17.607084657635003, 18.486253846516387, 18.899026573953023, 19.600758531478803, 25.934159085154533]}, "1": {"fourier": [27.00542963752922, 29.751362218101328, 29.83912337967549, 31.24417749831647, 48.21692194789648]}, "2": {"fourier": [27.0678744692820... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.110556, 0.356402, 0.250595, -0.203625, -0.272356], [0.046102, -0.8... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7111287117004395, "train_acc": 0.45, "val_loss": 0.6912996172904968, "val_acc": 0.68}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.691561758518219, "train_acc": 0.565, "val_loss": 0.6665418148040771, "val... |
197 | {"target_pattern": "palindrome", "degraded_accuracy": 0.64, "improved_accuracy": 0.94, "improvement": 0.29999999999999993, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 1602, "learning_rate": 0.02226579793... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.424205,
-0.451205,
-0.010186,
0.437898,
... | palindrome | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.424205,
-0.451205,
-0.010186,
0.437898,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [25.85996422988954, 26.834740658234406, 29.748922633025966, 32.03216188221463, 78.21344316005707]}, "1": {"fourier": [16.85835822021067, 17.65176193301765, 20.033437799289334, 20.80055921936501, 78.08186939917505]}, "2": {"fourier": [19.29954911999919, ... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.424205, -0.451205, -0.010186, 0.437898, 0.499689], [-0.123827, -0.... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7128805220127106, "train_acc": 0.45, "val_loss": 0.7059104442596436, "val_acc": 0.38}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6964196562767029, "train_acc": 0.49, "val_loss": 0.6687164306640625, "val... |
198 | {"target_pattern": "mountain_pattern", "degraded_accuracy": 0.58, "improved_accuracy": 0.82, "improvement": 0.24, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 4541, "learning_rate": 0.05660794565740996, "... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.429058,
0.759931,
0.191502,
-0.478304,
... | mountain_pattern | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.429058,
0.759931,
0.191502,
-0.478304,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [32.26094803160556, 32.8980176264994, 33.03282724835222, 41.070713884327255, 199.50386106967926]}, "1": {"fourier": [22.972955966502898, 26.75453630509082, 27.422079697092936, 27.680082499871357, 149.31818941049278]}, "2": {"fourier": [34.66706787712841... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.429058, 0.759931, 0.191502, -0.478304, 0.259201], [-0.290359, -0.1... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6991163492202759, "train_acc": 0.51, "val_loss": 0.678700864315033, "val_acc": 0.54}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6688951551914215, "train_acc": 0.63, "val_loss": 0.6236615180969238, "val_... |
199 | {"target_pattern": "ends_with", "degraded_accuracy": 0.6, "improved_accuracy": 0.78, "improvement": 0.18000000000000005, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 5486, "learning_rate": 0.0914369136844... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.058315,
0.416271,
0.392467,
-0.054014,
... | ends_with | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.058315,
0.416271,
0.392467,
-0.054014,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [21.358291025443155, 22.112143346093248, 22.833723199735662, 23.07658683595532, 67.21579203009605]}, "1": {"fourier": [28.88107521196308, 30.538694439516636, 31.563120239029644, 32.10900203431203, 207.9619786143303]}, "2": {"fourier": [30.41399035870962... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.058315, 0.416271, 0.392467, -0.054014, -0.433419], [-0.068885, 0.... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7067765891551971, "train_acc": 0.46, "val_loss": 0.6639883518218994, "val_acc": 0.6}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6587876677513123, "train_acc": 0.55, "val_loss": 0.5348319411277771, "val_... |
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