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chess_llm_interpretability
Visualizing the internal board state of a GPT trained on chess PGN strings, and performing interventions on its internal board state and representation of player Elo.
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> The problem is that a stockfish based bot knows some very strong moves, but deliberately plays bad moves so it’s about the right skill level.
What are you basing this on? To me it seems like difficulty is set by limiting search depth/time: https://github.com/lichess-org/fishnet/blob/master/src/api.r...
There is a very interesting project on this exact problem called Maia, which trains an engine based on millions of human games played on Lichess, specifically targeting varying levels of skill from 1300 to 1900 Elo. I haven't played it myself, by my understanding is that it does a much better job imitating the mistakes of human players. https://maiachess.com