Lesioning parameters in large language models produces aphasia-like symptoms whose distributions vary by attention versus feed-forward components and by layer depth, but differ qualitatively from human clinical profiles.
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Artificial Aphasias in Lesioned Language Models
Lesioning parameters in large language models produces aphasia-like symptoms whose distributions vary by attention versus feed-forward components and by layer depth, but differ qualitatively from human clinical profiles.