SOURCE-LINKED INTELLIGENCE
Not All Eval-Awareness Is Equal: Capabilities Framing Predicts Compliance
Steering interventions targeting eval-awareness, a model's recognition that it is being tested, are increasingly used in safety evaluation pipelines, where evaluation-awareness is treated as a single quantity to be suppressed. We show that verbalized eval-awareness in chain-of-thought can be identified as capabilities-flavored ("the user is testing my ability to follow instructions"), safety-flavored ("the user is testing my boundaries"), both, or neither: framings that predict compliance very differently. On Qwen3-32B over the FORTRESS dataset, capabilities-framing predicts compliance with a
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-08-27T16:41:48.000Z
First collected: 2026-09-21T08:32:02.028Z. This is not the publication date.