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Training activation classifiers for safety and alignment

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Summary

OpenAI describes activation classifiers, or probes, that run on the internal activations of its models to detect policy-violating behavior in real time, starting with GPT-5.6. The probes stream decisions that can block a violating turn midway, are described as more robust to jailbreaks than larger text classifiers, and are said to be more efficient to run. Probes must be retrained for each new base model and periodically within a family as weights drift.