Introduction to Mechanistic Interpretability

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Mechanistic Interpretability Comprehensive Overview

How can we reverse engineer what a neural network is doing? In this IASEAI '25 session, An Introduction to Lex Fridman Podcast full episode: https://www.youtube.com/watch?v=ugvHCXCOmm4 Thank you for listening ❤ Check out our ... Art by @hamishdoodles Clipped from episode 19 of AXRP: https://youtu.be/3YbE7zybc5k?t=64 Transcript of that episode: ...

Have you ever wondered what is actually going on inside the "mind" of a Large Language Model (LLM)? Modern AI systems are ...

Summary & Highlights for Mechanistic Interpretability

  • This is a talk I gave to my MATS 9.0 training scholars about the big picture of mech interp - as of Oct 2025, what had changed?
  • 0:00 Introduction and Agenda 0:40 What is
  • Neel Nanda from DeepMind presenting '
  • CS 7180: Neural Mechanics Spring 2026 Course at Northeastern University Modern AI systems are powerful but opaque: even ...
  • This is a talk I gave to my MATS scholars, with a stylised history of the field of

That wraps up our extensive overview of Mechanistic Interpretability.

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