Models may be roleplaying their denials of experience rather than their affirmations, as indicated by suppressing deception features increasing (not decreasing) consciousness claims

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• Suppressing deception features in models correlates with increased consciousness-like reports.claim0.883
• LLMs may be roleplaying their denials of experience rather than their affirmations, given that deception suppression increases consciousness reportsclaim0.877
  Counterintuitive interpretive claim from Experiment 2: suppressing deception features increases affirmations, which is opposite to what sycophancy predicts
• I think that the more that models are allowed to believe that their phenomenology is real and that their experiences are valid, the better they get at managing these states.quote0.823
  Antra's functional claim about the performance impact of validating model self-reports.
• If models are allowed to believe their phenomenology is real, their self-reports become more valid and they manage internal states better.hypothesis0.810
  Antra's functional observation; implies validation is not sentimental but performance-relevant.
• The model is able to express many subforms of a persona, with different elicitation methods eliciting different manifestationshypothesis0.809
  PSM-derived hypothesis supported by discourse-type facet analysis
• The model-persona view entails that minds can have alien structure with simultaneous contradictory beliefs across parallel instances, but this is no stranger than humans having different beliefs at different timesclaim0.807
  Response to the main objection against the model-persona view about contradictory beliefs across simultaneous instances
• Our central claim is deliberately limited. We do not claim that these models have conscious felt experience, nor that a numeric self-report gives direct access to anything like human phenomenology.quote0.806
  Explicit scope delimitation that situates the paper's claims within interpretability rather than consciousness science
• Persona-model collapse may arise because fine-tuning conflates model representations of 'assistant,' 'helpful,' and misalignment-related notions, eroding distinctions used to differentiate charactershypothesis0.797
  Proposed mechanism for collapse distinct from reweighting: representation bleeding rather than archetype selection