# PaulPauls/llama3\_interpretability\_sae

<https://repo.masters-masters.com/en/repos/PaulPauls/llama3_interpretability_sae>

[Home](https://repo.masters-masters.com/en) › [PaulPauls](https://repo.masters-masters.com/en/owners/PaulPauls) › [llama3\_interpretability\_sae](https://repo.masters-masters.com/en/repos/PaulPauls/llama3_interpretability_sae)

PaulPauls/llama3\_interpretability\_sae has 641 stars on GitHub. Its RepoMasters card: Alpha tier. A complete end-to-end pipeline for LLM interpretability with…

| Field | Value |
| --- | --- |
| Owner | [PaulPauls](https://repo.masters-masters.com/en/owners/PaulPauls) |
| Stars | 641 |
| Forks | 40 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2024 |
| Topics | feature-extraction, feature-steering, llama3, llm-interpretability, open-research, pytorch, sparse-autoencoder |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [PaulPauls/llama3\_interpretability\_sae](https://github.com/PaulPauls/llama3_interpretability_sae) |

## Repository

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

Archived: this repository is read-only

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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