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Scale, Drivers, and Limits of Representational Alignment Across Large Language Models

Wu, Jialin et al.
arXiv (All) · Papers
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computation-and-language
Comparing large language models can reveal shared representational structure and systematic differences between them. However, aggregate similarity measures can obscure how agreement varies across geometric scales and which linguistic properties support it. We introduce two complementary methods to
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