Lecture 25 Interpretability Information Center
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MIT 6.S897 Machine Learning for Healthcare, Spring 2019 Instructor: Peter Szolovits View the complete course: ... How can we reverse engineer what a neural network is doing? In this IASEAI ' Intelligent Analysis of Biomedical Images Winter 2023 Lecture 25 MIT 6.100L Introduction to CS and Programming using Python, Fall 2022 Instructor: Ana Bell View the complete course: ... May 13, 2025 Large language models do many things, and it's not clear from black-box interactions how they do them. We will ... 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?
Visit our sponsor 80000 hours - grab their free career guide and their podcast! Use our ... What's happening inside an AI model as it thinks? Why are AI models sycophantic, and why do they hallucinate? Are AI models ... Example of applying a heuristic approach (rule-based) to IVVC control. Concepts of Conservation Voltage Reduction (CVR) are ... This talk was recorded at NDC AI in Oslo, Norway. Attend the next NDC ...
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Lecture 25: Interpretability
25. Interpretability
An Introduction to Mechanistic Interpretability – Neel Nanda | IASEAI 2025
Intelligent Analysis of Biomedical Images | Winter 2023 | Lecture 25
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Last Updated: May 23, 2026
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