Learning a Generative Meta-Model of LLM Activations
Paper
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2602.06964
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Published
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2
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This repository contains activation data accompanying the paper Learning a Generative Meta-Model of LLM Activations.
With this data, you can train a GLP on Llama-3.2-1B activations from Layer 07. The activations are derived from FineWeb. GLPs are activation diffusion models useful for applications like on-manifold steering and sparse probing.
# download data
huggingface-cli download generative-latent-prior/llama1b-layer07-fineweb-1M \
--repo-type dataset \
--local-dir data/llama1b-layer07-fineweb-1M \
--local-dir-use-symlinks False
# launch training
conda activate glp
python3 glp_train.py config=configs/train_llama1b_static.yaml
@article{luo2026glp,
title={Learning a Generative Meta-Model of LLM Activations},
author={Grace Luo and Jiahai Feng and Trevor Darrell and Alec Radford and Jacob Steinhardt},
journal={arXiv preprint arXiv:2602.06964},
year={2026}
}