Media Summary: How can we reverse engineer what a neural network is doing? In this IASEAI '25 session, EuroPython 2025 — South Hall 2B on 2025-07-17] *Hacking LLMs: Take your personal data back with Incogni! Use code WELCHLABS at the link below and get 60% off an annual plan: ...
An Introduction To Mechanistic Interpretability - Detailed Analysis & Overview
How can we reverse engineer what a neural network is doing? In this IASEAI '25 session, EuroPython 2025 — South Hall 2B on 2025-07-17] *Hacking LLMs: Take your personal data back with Incogni! Use code WELCHLABS at the link below and get 60% off an annual plan: ... Art by Clipped from episode 19 of AXRP: Transcript of that episode: ... 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? Lex Fridman Podcast full episode: Thank you for listening ❤ Check out our ...
This is a talk I gave to my MATS scholars, with a stylised history of the field of CS 7180: Neural Mechanics Spring 2026 Course at Northeastern University Modern AI systems are powerful but opaque: even ... Neural networks have become increasingly impressive in recent years, but there's a big catch: we don't really know what they are ... How can we use the language of causality to understand and edit the internal mechanisms of AI models? Atticus Geiger ... A surprising fact about modern large language models is that nobody really knows how they work internally. At Anthropic, the ... A discussion on the philosophy of deep learning,
The Cohere For AI community was honoured to welcome Catherine Olsson to discuss the process of getting started in Part 1 of a walkthrough of our paper, Progress Measures for Grokking via A Google TechTalk, presented by Neel Nanda, 2023/06/20 Google Algorithms Seminar - ABSTRACT:
![The Dark Matter of AI [Mechanistic Interpretability]](https://i.ytimg.com/vi/UGO_Ehywuxc/mqdefault.jpg)
