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Maxime Méloux

@maximemeloux.bsky.social

PhD student @LIG | Causal abstraction, interpretability & LLMs

Maxime Méloux @maximemeloux.bsky.social · 10/07/2026

I'm very happy to give a spotlight at the Mechanistic Interpretability Workshop @ ICML on our work: "Validating Causal Abstraction Metrics on Simulated Complex Systems" Which metrics actually tell you if an explanation is valid? We built a benchmark to find out. 1/n

melouxm.github.io

Validating Causal Abstraction Metrics on Simulated Complex Systems

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Maxime Méloux @maximemeloux.bsky.social · 08/01/2026

Our new paper, "The Dead Salmons of AI interpretability", is out! In 2009, researchers showed that standard statistical errors could detect "brain activity" in a dead salmon 🐟. Modern XAI methods face similar issues: we find interpretable neurons and probes even in randomly initialized models. 1/X

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Maxime Méloux @maximemeloux.bsky.social · 26/04/2025

I'm very happy to present our work "Everything, Everywhere, All at Once: Is Mechanistic Interpretability Identifiable?" this afternoon at #ICLR2025! Come have a chat at stand #439 :)

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