FlyingPumba/learn-mech-interp

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.

AI Systems as Scientific Instruments for Understanding the Mechanisms of Intelligence

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

Transformer Explained Visually: Learn How LLM Transformer Models Work with Interactive Visualization

Interactive explorer for learning how large language models are trained

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 library for mechanistic interpretability of GPT-style language models