avbiswas/learn-mech-interp

A website for learning Mechanistic Interpretability

A carefully curated collection of high-quality libraries, projects, tutorials, research papers, and other essential resources focused on Mechanistic Interpretability, a growing subfield in machine learning interpretability research that aims to reverse-engineer neural networks into understandable computational components.

A curated list of Large Language Model (LLM) Interpretability resources.

Companion Code for Deconstructing Large Language Models

Companion code for the global workspace interpretability paper

open source interpretability platform 🧠

Delphi was the home of a temple to Phoebus Apollo, which famously had the inscription, 'Know Thyself.' This library lets language models know themselves through automated interpretability.

Unified access to Large Language Model modules using NNsight

A framework for training, analyzing, and visualizing sparse autoencoders and related interpretability methods