Atlas / Digital minds / Paper

Language models (mostly) know what they know

Introspection & Self-report

Saurav Kadavath, Tom Conerly, Amanda Askell, Tom Henighan, Dawn Drain, Ethan Perez, Nicholas Schiefer, Zac Hatfield-Dodds, Nova DasSarma, Eli Tran-Johnson · 2022 · arXiv

Read the paper

Finds that large models are fairly well calibrated about whether their answers are right and can be trained to predict whether they know an answer. An early baseline for self-knowledge.

Questions it bears on

Help improve this map

Know a paper that belongs here, or think something needs correcting?

Suggest a correction ↗Contributions are reviewed before they appear.