AI-in-Transportation-Lab/awesome-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.

GitHub repository with 110 stars and 8 forks.

Language: JavaScript

Topics: llms, mechanistic-interpretability

Open provider repository

Latest metric snapshot

2026-06-14: 110 stars and 8 forks.

Trending in JavaScript

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