Do LLMs Have Desires?
Tests whether LLMs' paired-choice stated preferences drive behavior, finding output quality responds to effort and harm cues but not to preferred outcomes, with sandbagging on harmful prompts.
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Source LessWrong · 3
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A Mirror Test For LLMs
Proposes a Mirror-Window game to test LLM self-awareness by having models identify their own outputs among others' tokens, finding strong results for some recent models, which the authors conclude still fall short.
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Evaluation Awareness Scales Predictably in Open-Weights Large Language Models
Probes steering-vector activations across 15 open-weight models from 0.27B to 70B to show evaluation awareness grows with model size, with a power-law trend and Qwen as an outlier.