Part 2 5 Interpretability

Summary

Neel Nanda discusses mechanistic MIT 6.S897 Machine Learning for Healthcare, Spring 2019 Instructor: Peter Szolovits View the complete course: ... Professor Hima Lakkaraju presents some of the latest advancements in machine learning models that are inherently A surprising fact about modern large language models is that nobody really knows how they work internally. At Anthropic, the ... Talk presented at dotAI 2026 by David Louapre, AI Scientist & Educator at Hugging Face: dotai.io/ David holds a PhD ... Short Introduction to our review paper: arxiv.org/abs/2103.11251 What is Claude thinking but never saying? Anthropic's new J-Lens reveals a hidden "J-Space" inside the model: a small ... This video has been made for teaching use at Northumbria University in England, but has been made publicly available. Welcome to Week 3 of the Machine Learning Foundations for AI Safety (MLFAS 1.0) cohort. In this session, we transition into ... Slides: cs.purdue.edu/homes/jsetpal/slides/mechinterp.pdf We recapped transformer circuits, and discussed ... Resources ▭▭▭▭▭▭▭▭▭▭ Code: github.com/deepfindr/xai-series Take your personal data back with Incogni! Use code WELCHLABS at the link below and get 60% off an annual plan: ... Speaker: Hanieh Arjmand, ML Researcher, Lydia.ai & Spark Tseung, Applied Data Scientist, Lydia.ai Model