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Research2026-07-09 · source-backed

A model's activations reveal whether it'll hallucinate before it writes a token.

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Story

The Bielik study shows internal activation dispersion separates entities a model genuinely knows from ones it'll confabulate, and the signal holds across scale. That's a lightweight, inference-time hallucination lever: check the dispersion before you trust the answer on knowledge-heavy tasks. Cheaper than a second model call, and it runs before generation instead of after.

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2026-07-09-a-model-s-activations-reveal-whether-it-ll-hallucinate-before-it-writes-a-token
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source-backed, canonical briefing excerpt