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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.

Archived: this repository is read-only

Owner
PaulPauls (personal account)
Stars
Stars: 641
Forks
Forks: 40
Language
Python
License
MIT
Created
2024
Topics
feature-extractionfeature-steeringllama3llm-interpretabilityopen-researchpytorchsparse-autoencoder
Tier
Alpha (250 to 699 ★) What this tier means
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