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Contextual specifications can reshape the geometric structure of concepts in LLMs, overriding strong pretrained priors and revealing a surprising flexibility in representation.
Internal-state probes might excel at describing model behavior but fall short in predicting harmful actions, revealing critical gaps in pre-action monitoring.