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cs.CL2025
Polysemy of Synthetic Neurons Towards a New Type of Explanatory Categorical Vector Spaces
Michael Pichat, William Pogrund, Paloma Pichat +6
The polysemantic nature of synthetic neurons in artificial intelligence language models is currently understood as the result of a necessary superposition of distributed features w…
cs.CL2025
Synthetic Categorical Restructuring large Or How AIs Gradually Extract Efficient Regularities from Their Experience of the World
Michael Pichat, William Pogrund, Paloma Pichat +6
How do language models segment their internal experience of the world of words to progressively learn to interact with it more efficiently? This study in the neuropsychology of art…