Researchers extract spatial, temporal and pain data from LLMs
Researchers found that mathematical probing of large language models like ChatGPT reveals surprisingly specific information: a city's location on a map, when a historical figure lived, and what emotion a character feels, including descriptions of pain.
- LLM internal activity can be probed with mathematical tools
- Models encode a city's coordinates and a figure's era
- Character emotions and pain descriptions are detectable
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