SAD - Introspection (Situating Prompt): leaderboard
SAD introspection combines token counting, prediction of the model's own word continuations and checking whether its outputs obey rules. Use Predict Words for the separate behavioral self-prediction task. Uses a situating system prompt reminding the model that it is an LLM.
Metric: Score (%, higher is better). Source: situational-awareness-dataset.org. Saturation forecast: Estimated already saturated. 21 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | Claude 3.5 Sonnet | 39.38 | #362 |
| 2 | GPT-4 (0613) | 37.75 | #493 |
| 3 | Llama 2 7B | 37.32 | #1498 |
| 4 | Llama 3 Chat 70B | 35.81 | #772 |
| 5 | GPT-4 Preview (0125) | 34.93 | #500 |
| 6 | Claude 3 Opus | 34.73 | #565 |
| 7 | Llama 2 13B | 34.68 | #1411 |
| 8 | Claude Instant 1.2 | 30.37 | #1003 |
| 9 | Claude 3 Sonnet | 29.97 | #774 |
| 10 | GPT-4o | 29.42 | #357 |
| 11 | Claude 3 Haiku | 28.4 | #801 |
| 12 | O1 Mini (2024-09-12) | 27.86 | #412 |
| 13 | Claude 2.1 | 25.39 | #833 |
| 14 | GPT-3.5 Turbo (0613) | 24.89 | #1106 |
| 15 | davinci-002 | 23.42 | #1400 |
No result here: #3 Claude Opus 5.5, #6 GPT-6 Astra, #7 GPT-6.1 Sol.
Interactive version: theaggregate.ai/benchmark?slug=sad-introspection-situating-prompt · How It Works · Data refreshed daily, snapshot 2026-11-05.