Author

Mirko Bronzi

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#artificial intelligence Preprint Oct 2026

Cross-Model In-Context Neurofeedback Reveals (Limited) Activation Control in LLMs

Probes on activation vectors are widely used to detect misbehavior in language models, but their success relies on the assumption that models cannot control what their activations encode. Humans can learn, through neurofeedback, to control the firing of even single neurons, and recent studies investigated whether this...

Davide Baldelli, Robyn Kozierok, Mirko Bronzi et al. · 0 citations

Preprint Jul 2026

How Much is Left? LLMs Linearly Encode Their Remaining Output Length

Training minimal-capacity linear probes on frozen hidden states of three open-weight 7-8B models across seven completion-style datasets finds three converging pieces of evidence that LLMs maintain a plan-like internal representation of output length, interpreted as evidence that LLMs maintain a plan-like internal repre...

Mohamed Amine Merzouk, Dmitri Carpov, Mirko Bronzi et al. · 1 citation