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MIT 6.S897 Machine Learning for Healthcare, Spring 2019 Instructor: Peter Szolovits View the complete course: ... 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? How can we reverse engineer what a neural network is doing? In this IASEAI ' A surprising fact about modern large language models is that nobody really knows how they work internally. At Anthropic, the ... Take your personal data back with Incogni! Use code WELCHLABS at the link below and get 60% off an annual plan: ... What's happening inside an AI model as it thinks? Why are AI models sycophantic, and why do they hallucinate? Are AI models ...
Part 1 of a walkthrough of our paper, Progress Measures for Grokking via Mechanistic Forough Poursabzi, Researcher, Microsoft Research Presented at MLconf 2018 Abstract: Machine learning is increasingly used to ... This 5 minute video explains the difference between global Visit our sponsor 80000 hours - grab their free career guide and their podcast! Use our ... This talk was recorded at NDC AI in Oslo, Norway. Attend the next NDC ... Introduction to Interpretability in Deep Learning 2023
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Today Lee Sharkey of Goodfire joins The Cognitive Revolution to discuss his research on parameter decomposition methods that ...
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25. Interpretability
Lecture 25: Interpretability
What Matters Right Now In Mechanistic Interpretability?
An Introduction to Mechanistic Interpretability – Neel Nanda | IASEAI 2025
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Last Updated: May 26, 2026
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