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Probes detect hidden agent deception before text monitors do

Caught in the Act scales white-box activation probes to agent-deception monitoring. The authors report 98.8% AUC on SHADE-Arena and detect hidden goals that cannot be inferred from text alone. The FIBS training data, inference code and probe weights are public.

What this means for you

For teams deploying privileged agents, internal model signals may cover blind spots in text monitors. This is still author-reported research; test cross-model transfer, false positives and activation-access cost before connecting it to a blocking path.

FRONTIER WATCH

Public artifacts and validated results are different.

The recorded fact is the public work and its artifacts. Author-reported outcomes do not establish independent reproduction. Next checks include usable code, task conditions and third-party validation.

Evidence & related material

Technical details & scores
Reported Sha De Arena Auc 0.988
Hidden Goal Auc up to 0.997
Artifacts MIT inference code, FIBS data and published probe weights
Method multi-layer, multi-token white-box activation probes
Technical impact 4
Engineering value 4
Adoption signal 1
Maturity 2
Verification cost 3
Risk 3