Hacker News
- Chess-GPT's Internal World Model https://adamkarvonen.github.io/machine_learning/2024/01/03/chess-world-models.html 103 comments
- Chess-GPT, 1000x smaller than GPT-4, plays 1500 ELO chess. We can visualize its internal board state, and it accurately estimates the ELO rating of the players in a game. https://adamkarvonen.github.io/machine_learning/2024/01/03/chess-world-models.html 9 comments chess
Linking pages
- Manipulating Chess-GPT’s World Model | Adam Karvonen https://adamkarvonen.github.io/machine_learning/2024/03/20/chess-gpt-interventions.html 36 comments
- GitHub - adamkarvonen/chess_llm_interpretability: Evaluating an LLM trained on chess PGN strings using techniques from the Othello World Models paper. https://github.com/adamkarvonen/chess_llm_interpretability 2 comments
- February '24 Roundup | Tom Hipwell https://tomhipwell.co/blog/february_24_roundup/ 0 comments
Linked pages
- Large Language Model: world models or surface statistics? https://thegradient.pub/othello/ 381 comments
- GitHub - karpathy/nanoGPT: The simplest, fastest repository for training/finetuning medium-sized GPTs. https://github.com/karpathy/nanoGPT 366 comments
- lichess.org open database https://database.lichess.org 225 comments
- [2210.13382] Emergent World Representations: Exploring a Sequence Model Trained on a Synthetic Task https://arxiv.org/abs/2210.13382 148 comments
- Actually, Othello-GPT Has A Linear Emergent World Representation — Neel Nanda https://www.neelnanda.io/mechanistic-interpretability/othello 43 comments
- Rent Cloud GPUs from $0.2/hour https://runpod.io 4 comments
- GitHub - adamkarvonen/chess_gpt_eval https://github.com/adamkarvonen/chess_gpt_eval 4 comments
- GitHub - adamkarvonen/chess_llm_interpretability: Evaluating an LLM trained on chess PGN strings using techniques from the Othello World Models paper. https://github.com/adamkarvonen/chess_llm_interpretability 2 comments
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