concept
active
concept:gpt-4-1GPT-4.1
OpenAI model tested in Experiments 1, 3, 4; shows 100% experience reporting under self-referential induction
Neighborhood — ranked by edge-count
Papers (2)
paper
Concepts (4)
concept
- GPT-4related_toLarge language model underlying ChatGPT and Bing Chat; used for illustrative quotes in the paper
- GPT-3related_toLarge language model cited as an example; also used in Andreas 2022 for preliminary evidence
- GPT-4Vrelated_toExample of unified multimodal system handling both images and text with a combined architecture
- GPT-4 Turborelated_toOpenAI model tested; shows no alignment faking due to insufficient detailed reasoning
Related by similarity (8)
cosine ≥ 0.65 · no typed edgeEntities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.
- Early large language model cited as an example of transformer-based LLMs
- Using GPT-4o to evaluate character fidelity and multi-turn response quality in RPA experiments
- GPT-4 was used to generate unique variations of cheap/expensive items and room names for the test dataset
- Uses GPT-4 via the OpenAI API to generate custom multiple-choice benchmark instances, with human and automated validation.
- Disambiguation exercise.
- One of two large reasoning models analyzed in the paper for performative vs genuine CoT behavior
- Frontier LLM used at temperature 0 to score SJT responses on 1-5 Likert scale conditioned on construct definition and SJT stem
- A family of large language models trained on next-token prediction, central example of simulators.