Author

Uzay Macar

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Preprint Aug 2026

Measuring Activation Control in Large Language Models

The Activation Controllability Benchmark is introduced to quantify the extent to which models can modulate their residual stream via natural-language instruction, and suggests that control over the activation space itself could become a confound for monitoring as introspective capabilities increase.

Marek Mateusz Kowalski, J. Rivera, Uzay Macar et al. · 0 citations