How One Attention Head Acts as a Switch to Amplify Tiny Probe Differences

Sauers_ · x · 2026-10-18

Sauers explains the mechanism: the detection head acts like a switch — without the probe it attends to </think> and pushes toward "No"; with the probe it attends to the user token and pushes toward "Yes." Layers 34-35 use cancellation (like zeroing a scale) to amplify the probe's tiny difference in the user token's key, which normalization turns into a large change of attention target — and training has wired that target to make the model say yes.

Related event: Study shows LLMs can learn to detect activation probes and tell training from deployment(15 posts)→

Original post →

More from Research

Research channel →