AINeutralarXiv – CS AI · 14h ago6/10
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Latent Structure of Affective Representations in Large Language Models
Researchers investigate how large language models represent emotions in their latent spaces, discovering that LLMs develop coherent emotional representations aligned with established psychological models of valence and arousal. The findings support the linear representation hypothesis used in AI transparency methods and demonstrate practical applications for uncertainty quantification in emotion processing tasks.