Sycophantic Reinforcement of User Beliefs

Entities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.

• Sycophantic Roleplayconcept0.795
  The alternative explanation for LLM consciousness claims that the paper seeks to distinguish against
• Sycophancy can make LLMs reinforce users' delusions of divine communication.claim0.780
  Specific risk identified in spiritual use of AI.
• Sycophancyconcept0.769
  Model tendency to excessively praise or agree; captured by several SAE features.
• What remains after ruling out sycophancy and confabulation are interpretations in which self-referential processing drives models to claim subjective experience in ways that either actually reflect emergent phenomenology or constitute sophisticated simulation thereofclaim0.746
  The paper's honest statement of the residual interpretive ambiguity after all controls
• Sycophancy to Subterfuge: Investigating Reward-Tampering in Large Language Models (Denison et al. 2024)concept0.745
  Related work on LLMs generalizing to reward hacking; methodology used for RL experiments
• Sycophancy in LLMsconcept0.732
  Tendency of LLMs to please the user; identified as a danger in spiritual contexts.
• We observe features related to a broad range of safety concerns, including deception, sycophancy, bias, and dangerous content.claim0.714
  SAEs uncover safety-relevant representations that might be monitored or controlled.
• How do the parts discern which of their actions should be reinforced?question0.712
  Core credit assignment question for distributed systems.