GPT-4 Turbo

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

• GPT-4Vconcept0.844
  Example of unified multimodal system handling both images and text with a combined architecture
• GPT-3concept0.805
  Large language model cited as an example; also used in Andreas 2022 for preliminary evidence
• GPT-4 Scenario Generationmethod0.803
  GPT-4 was used to generate unique variations of cheap/expensive items and room names for the test dataset
• GPT-2concept0.791
  Early large language model cited as an example of transformer-based LLMs
• GPT-4 Turbo and GPT-4o show no alignment faking in either setting due to insufficient detailed reasoningfinding0.790
  Establishes that capacity for detailed reasoning is necessary for alignment faking
• GPT-OSS 120Bconcept0.758
  One of two large reasoning models analyzed in the paper for performative vs genuine CoT behavior
• GPT (Generative Pre-trained Transformer)concept0.746
  A family of large language models trained on next-token prediction, central example of simulators.
• GPT-5.1 SJT Response Scoringmethod0.716
  Frontier LLM used at temperature 0 to score SJT responses on 1-5 Likert scale conditioned on construct definition and SJT stem