Author

T. Dominik

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#artificial intelligence Preprint Oct 2026

Reasoning-Token Spikes Under Prompted Untruthful Responses in Large Language Models

These findings show that explicitly prompted untruthful response policies can produce robust group-level differences in test-time reasoning-token use, and are a proof of concept that reasoning-token count can serve as a simple, content-independent black-box candidate signal for differentiating untruthful from truthful...

Maverick Morales, T. Dominik, Vermut Gao et al. · 0 citations

#artificial intelligence Preprint Oct 2026

First-Order Steering: Translating Weight Adaptation into Activation Steering

Activation steering exploits interpretable directions in the residual stream to enable inference-time manipulation of model behavior. Composing steering vectors to apply multiple target behaviors simultaneously is important in various fields-including AI alignment and safety-but remains a challenge for existing activat...

Sri Pranav Kunda, Alexander Kurz, T. Dominik et al. · 0 citations