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generative-latent-prior/llama1b-layer07-fineweb-1M

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Hugging Face2026-02-09 更新2026-03-29 收录
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--- license: mit --- ## Llama1B 1M Training Activations This repository contains activation data accompanying the paper __Learning a Generative Meta-Model of LLM Activations__. * Project page: __https://generative-latent-prior.github.io__ * Code: __https://github.com/g-luo/generative_latent_prior__ ## Quick Start With this data, you can train a GLP on [Llama-3.2-1B](https://huggingface.co/meta-llama/Llama-3.2-1B) activations from Layer 07. The activations are derived from [FineWeb](https://huggingface.co/datasets/HuggingFaceFW/fineweb). GLPs are activation diffusion models useful for applications like on-manifold steering and sparse probing. ```python # 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 ``` ## Citation ```bibtex @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} } ```
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