Mechanistic Interpretability Solved

Summary

My book about Post-Labor Economics - "Labor Zero" is now available on Amazon for pre-order: ... Art by Clipped from episode 19 of AXRP: youtu.be/3YbE7zybc5k?t=64 Transcript of that episode: ... A practical guide to neural nets, superposition, and expts around polysemanticity. Try Explain by Scrimba: ... Lex Fridman Podcast full episode: youtube.com/watch?v=ugvHCXCOmm4 Thank you for listening ❤ our ... How can we reverse engineer what a neural network is doing? In this IASEAI '25 session, An Introduction to Take your personal data back with Incogni! Use code WELCHLABS at the link below and get 60% off an annual plan: ... EuroPython 2025 — South Hall 2B on 2025-07-17] *Hacking LLMs: An Introduction to Gradient now and redeem your free 5$ credits! gradient.1stcollab.com/bycloud CS 7180: Neural Mechanics Spring 2026 Course at Northeastern University Modern AI systems are powerful but opaque: even ... How can we use the language of causality to understand and edit the internal mechanisms of AI models? Atticus Geiger ... 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? Want to break into cutting-edge AI research without a PhD? Neel Nanda, a 26-year-old Research Lead at Google DeepMind, ... SITUATION EXPLAINED: Ex-OpenAI researcher Nick Cammarata says we can now understand most neurons inside AI models, ... Paper: transformer-circuits.pub/2023/monosemantic-features/index.html Blogpost: ...