Mechanistic Interpretability Part 1 Features

Media Summary: The model works. But WHICH neurons encode 3D contacts? Which attention head learned co-evolution? Open the clock and ... How can we reverse engineer what a neural network is doing? In this IASEAI '25 session, An Introduction to Take your personal data back with Incogni! Use code WELCHLABS at the link below and get 60% off an annual plan: ...

Mechanistic Interpretability Part 1 Features - Detailed Analysis & Overview

The model works. But WHICH neurons encode 3D contacts? Which attention head learned co-evolution? Open the clock and ... How can we reverse engineer what a neural network is doing? In this IASEAI '25 session, An Introduction to Take your personal data back with Incogni! Use code WELCHLABS at the link below and get 60% off an annual plan: ... 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? CS 7180: Neural Mechanics Spring 2026 Course at Northeastern University Modern AI systems are powerful but opaque: even ... How can we use the language of causality to understand and edit the internal mechanisms of AI models? Atticus Geiger ...

A discussion on the philosophy of deep learning, The Cohere For AI community was honoured to welcome Catherine Olsson to discuss the process of getting started in Slides: We covered most of transformer circuits, and will cover ... Have you ever wondered what is actually going on inside the "mind" of a Large Language Model (LLM)? Modern AI systems are ...

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Mechanistic Interpretability Part 1: Features, Circuits, Superposition & Probing Neural Networks

An Introduction to Mechanistic Interpretability – Neel Nanda | IASEAI 2025

The Dark Matter of AI [Mechanistic Interpretability]

What is mechanistic interpretability? Neel Nanda explains.

What Matters Right Now In Mechanistic Interpretability?

Mechanistic Interpretability explained | Chris Olah and Lex Fridman

Introduction to Mechanistic Interpretability with David Bau

Causal Mechanistic Interpretability (Stanford lecture 1) - Atticus Geiger

Mechanistic Interpretability and How LLMs Understand

Catherine Olsson - Mechanistic Interpretability: Getting Started

Neel Nanda – Mechanistic Interpretability: A Whirlwind Tour

Mechanistic Interpretability, Part 1 | ML@P Reading Group | Jinen Setpal

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Mechanistic Interpretability Part 1: Features, Circuits, Superposition & Probing Neural Networks

Mechanistic Interpretability Part 1: Features, Circuits, Superposition & Probing Neural Networks

The model works. But WHICH neurons encode 3D contacts? Which attention head learned co-evolution? Open the clock and ...

An Introduction to Mechanistic Interpretability – Neel Nanda | IASEAI 2025

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

The Dark Matter of AI [Mechanistic Interpretability]

The Dark Matter of AI [Mechanistic Interpretability]

Take your personal data back with Incogni! Use code WELCHLABS at the link below and get 60% off an annual plan: ...

What is mechanistic interpretability? Neel Nanda explains.

What is mechanistic interpretability? Neel Nanda explains.

Art by @hamishdoodles Clipped from

What Matters Right Now In Mechanistic Interpretability?

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?

Mechanistic Interpretability explained | Chris Olah and Lex Fridman

Mechanistic Interpretability explained | Chris Olah and Lex Fridman

Lex Fridman Podcast full

Introduction to Mechanistic Interpretability with David Bau

Introduction to Mechanistic Interpretability with David Bau

CS 7180: Neural Mechanics Spring 2026 Course at Northeastern University Modern AI systems are powerful but opaque: even ...

Causal Mechanistic Interpretability (Stanford lecture 1) - Atticus Geiger

Causal Mechanistic Interpretability (Stanford lecture 1) - Atticus Geiger

How can we use the language of causality to understand and edit the internal mechanisms of AI models? Atticus Geiger ...

Mechanistic Interpretability and How LLMs Understand

Mechanistic Interpretability and How LLMs Understand

A discussion on the philosophy of deep learning,

Catherine Olsson - Mechanistic Interpretability: Getting Started

Catherine Olsson - Mechanistic Interpretability: Getting Started

The Cohere For AI community was honoured to welcome Catherine Olsson to discuss the process of getting started in

Neel Nanda – Mechanistic Interpretability: A Whirlwind Tour

Neel Nanda – Mechanistic Interpretability: A Whirlwind Tour

Neel Nanda from DeepMind presenting '

Mechanistic Interpretability, Part 1 | ML@P Reading Group | Jinen Setpal

Mechanistic Interpretability, Part 1 | ML@P Reading Group | Jinen Setpal

Slides: https://cs.purdue.edu/homes/jsetpal/slides/mechinterp.pdf We covered most of transformer circuits, and will cover ...

Cracking the LLM Black Box: Inside Mechanistic Interpretability

Cracking the LLM Black Box: Inside Mechanistic Interpretability

Have you ever wondered what is actually going on inside the "mind" of a Large Language Model (LLM)? Modern AI systems are ...