AI RESEARCH
The Pinocchio Dimension: Phenomenality of Experience as the Primary Axis of LLM Psychometric Differences
arXiv CS.CL
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ArXi:2605.05080v1 Announce Type: new We administer 45 validated psychometric questionnaires to 50 large language models (LLMs) to identify the dimensions along which LLMs differ psychometrically. Using Supervised Semantic Differential (SSD), we find that the primary axis of between-model variance separates items describing phenomenally rich experience, including embodied sensation, felt affect, inner speech, imagery, and empathy, from items describing stimulus-driven behavioral reactivity ($R^2_{adj}=.037$, $p<.0001$). To test this hypothesis at the item level, we.