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Pierre Beckmann
AI researcher and PhD student in neuro-symbolic AI with interests in mechanistic interpretability and philosophy of AI, contributing empirical and conceptual analysis of how LLMs represent features and concepts.
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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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