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Matthieu Queloz
Privatdozent at the University of Bern and author of books on the origins and ethics of conceptualization; works on philosophy of science and epistemology applied to AI and conceptual understanding.
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Jan 10, 2026
• 1h 57min
Mechanistic Interpretability and How LLMs Understand
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Dr. Matthieu Queloz, a Privatdozent at the University of Bern and author on conceptualization ethics, joins Pierre Beckmann, an AI researcher and PhD student specializing in neuro-symbolic AI. They dive into the philosophy of deep learning, exploring how LLMs represent features and concepts. The duo discusses the advantages of language-centered AI and mechanistic interpretability, emphasizing high-dimensional feature packing and the potential for LLMs to form partial world models. They also examine the social functions of understanding and the need to adapt this concept for AI.
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