PaulPauls / llama3_interpretability_sae

A complete end-to-end pipeline for LLM interpretability with sparse autoencoders (SAEs) using Llama 3.2, written in pure PyTorch and fully reproducible.

Date Created 2024-11-21 (a day ago)

Commits 3 (last one 18 hours ago)

Stargazers 486 (486 this week)

Watchers 3 (2 this week)

Forks 18

License unknown

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RepositoryStats indexes 585,332 repositories, of these PaulPauls/llama3_interpretability_sae is ranked #154,646 (74th percentile) for total stargazers, and #536,654 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #27,013/116,570.

PaulPauls/llama3_interpretability_sae is also tagged with popular topics, for these it's ranked: pytorch (#2,178/5954), llama3 (#64/156)

Other Information

There have been 1 release, the latest one was published on 2024-11-21 (a day ago) with the name Initial Release [v0.2.0].

All Topics

llama3 pytorch open-research feature-steering feature-extraction sparse-autoencoder llm-interpretability

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2 commits on the default branch (main) since jan '22

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The only known language in this repository is Python

updated: 2024-11-23 @ 10:02am, id: 892179639 / R_kgDONS2Utw