Training activation classifiers for safety and alignment
Trains efficient activation-based classifiers that read a model's internal activations to detect and interrupt policy-violating behaviour in real time during deployment.
OpenAI's alignment research blog. alignment.openai.com
Trains efficient activation-based classifiers that read a model's internal activations to detect and interrupt policy-violating behaviour in real time during deployment.
OpenAI describes how it monitors frontier models, investigates concerning behaviour, and tests the limits of its safeguards to detect misalignment.
Proposes complementary metrics, pair-matched comparisons and post-control risk, to evaluate how monitorable models are, supplementing the g-mean² score.