What Matters Right Now In Mechanistic Interpretability

Summary

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? A practical guide to neural nets, superposition, and expts around polysemanticity. Try Explain by Scrimba: ... Explaining "Neural Networks are Already Clean" from the ground up. Cline Desktop: cline.gg/desktop-avb and ... Take your personal data back with Incogni! Use code WELCHLABS at the link below and get 60% off an annual plan: ... What if you were to peer inside the 'mind' of AI? You wouldn't find fully formed thoughts, The Cohere For AI community was honoured to welcome Catherine Olsson to discuss the process of getting started in A discussion on the philosophy of deep learning, 80000hours.org/mlst Visit our sponsor 80000 hours - grab their free career guide and their podcast! Use our ... Mech interp basics: youtu.be/ZCxQ_IhMHPY Part 1: youtube.com/live/Xv62x-mUvlE Try Explain by Scrimba: ... SITUATION EXPLAINED: Ex-OpenAI researcher Nick Cammarata says we can CS 7180: Neural Mechanics Spring 2026 Course at Northeastern University Modern AI systems are powerful but opaque: even ... A Google TechTalk, presented by Neel Nanda, 2023/06/20 Google Algorithms Seminar - ABSTRACT: Neel Nanda presents a comprehensive overview of How can we use the language of causality to understand and edit the internal mechanisms of AI models? Atticus Geiger ... EuroPython 2025 — South Hall 2B on 2025-07-17] *Hacking LLMs: An Introduction to