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Othello-GPT.pdf

2210.13382.pdf
Preview of Othello-GPT
🔗 Source: arxiv.org
📊 Size: 3.88 MB
📄 Pages: 17 pages
⬇️ Downloads: 83

Summary

Researchers investigated if language models learn internal representations of sequences or just memorize surface statistics. They trained a GPT variant on the game Othello, finding evidence of an emergent nonlinear internal representation of the board state. Interventional experiments showed this representation can control the network's output, and "latent saliency maps" were created to explain predictions. The study provides four contributions: evidence for an emergent world model, comparison of linear and nonlinear probing approaches, an intervention technique, and the use of probes to produce latent saliency maps.

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Description

Researchers investigated if language models learn internal representations of sequences or just memorize surface statistics.

Technical Information

  • File Format: PDF
  • File Size: 3.88 MB
  • Pages: 17
  • Language: EN
  • Total Downloads: 83
  • Last Updated: 6 hours ago

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