Mechanistic Interpretability explained | Chris Olah and Lex Fridman
Lex Fridman
Mechanistic Interpretability Explained Chris Olah And Lex Fridman
"Looking Inside Neural Networks with A surprising fact about modern large language models is that nobody really knows how they work internally. At Anthropic,...
Chris Olah - Looking Inside Neural Networks with Mechanistic Interpretability
"Looking Inside Neural Networks with
What is interpretability?
A surprising fact about modern large language models is that nobody really knows how they work internally. At Anthropic, the ...
Jay McClelland: Neural Networks and the Emergence of Cognition | Lex Fridman Podcast #222
Jay McClelland is a cognitive scientist at Stanford. Please support this podcast by checking out our sponsors: - Paperspace: ...
Dario Amodei: Anthropic CEO on Claude, AGI & the Future of AI & Humanity | Lex Fridman Podcast #452
Dario Amodei is the CEO of Anthropic, the company that created Claude. Amanda Askell is an AI researcher working on Claude's ...
Stephen Wolfram: ChatGPT and the Nature of Truth, Reality & Computation | Lex Fridman Podcast #376
Stephen Wolfram is a computer scientist, mathematician, theoretical physicist, and the founder of Wolfram Research, a company ...
What Matters Right Now In Mechanistic Interpretability?
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?
An Introduction to Mechanistic Interpretability – Neel Nanda | IASEAI 2025
How can we reverse engineer what a neural network is doing? In this IASEAI '25 session, An Introduction to
Vladimir Vapnik: Statistical Learning | Lex Fridman Podcast #5
Just looking on that,
Superposition in neural networks | Dario Amodei and Lex Fridman
Lex Fridman
Yann LeCun: Dark Matter of Intelligence and Self-Supervised Learning | Lex Fridman Podcast #258
Yann LeCun is the Chief AI Scientist at Meta, professor at NYU, Turing Award winner, and one of the seminal researchers in the ...
Mechanistic Interpretability and How LLMs Understand
A discussion on the philosophy of deep learning,
What the hell is going on inside neural networks? | Chris Olah
_Originally released August 2021._ Big machine learning models can identify plant species better than any human, write ...