Probe Set for Lie Detection Research Released
livgorton · x · 2026-07-18
Researchers have released a set of probes for lie detection (deception detection), trained on roughly 50 models and "model organisms" with parameter scales ranging from 2B to 1T.
These resources are typically used to analyze internal model representations and behavioral traits, helping researchers compare signal differences across models regarding deception, lying, or related behaviors. While the post lacks methodological details, the information points to a readily available probe collection for research purposes.
More from Research
- Project APE finds verifier reliability drops when papers contain multiple errors — soumitrashukla9 · 2026-07-22
- Project APE says verifier costs fell about 90x in a year as Chinese open models lead — soumitrashukla9 · 2026-07-22
- Project APE builds its verifier benchmark from 100 AI-written papers with injected errors — soumitrashukla9 · 2026-07-22
- Paper proposes a CRED taxonomy and benchmark to measure research-error detectors — soumitrashukla9 · 2026-07-22
- OpenAI says long-horizon models need safety and alignment checks across full action sequences — rhiever · 2026-07-22
- A Reddit user proposes a consistency LoRA to keep anime and game scenes visually stable — ThirdWorldBoy21 · 2026-07-22