Introduction to From Mechanistic To Compositional Interpretability
Exploring From Mechanistic To Compositional Interpretability reveals several interesting facts. Interpretable
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Lex Fridman Podcast full episode: https://www.youtube.com/watch?v=ugvHCXCOmm4 Thank you for listening ❤ Check out our ... Abstract Pretrained language models (LMs) encode implicit representations of knowledge in their parameters. Despite this ... How can we use the language of causality to understand and edit the internal mechanisms of AI models? Atticus Geiger ...
Neel Nanda from DeepMind presenting '
Summary & Highlights for From Mechanistic To Compositional Interpretability
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- 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?
- Chenhao Tan demonstrates an automated
- How can we reverse engineer what a neural network is doing? In this IASEAI '25 session, An Introduction to
- EuroPython 2025 — South Hall 2B on 2025-07-17] *Hacking LLMs: An Introduction to
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