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. (by adamkarvonen)
nanoGPT
A repository for training nanogpt-based Chess playing language models. (by adamkarvonen)
chess_llm_interpretability | nanoGPT | |
---|---|---|
3 | 1 | |
161 | 19 | |
- | - | |
9.6 | 6.8 | |
12 days ago | 16 days ago | |
Jupyter Notebook | Python | |
- | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
chess_llm_interpretability
Posts with mentions or reviews of chess_llm_interpretability.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-03-25.
-
Manipulating the Internal World Model of a Chess Playing Language Model
The code for this is located here: https://github.com/adamkarvonen/chess_llm_interpretability
- Chess-GPT's Internal World Model
nanoGPT
Posts with mentions or reviews of nanoGPT.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-03-25.
-
Manipulating the Internal World Model of a Chess Playing Language Model
Additionally instructions on training/inference on mac - https://github.com/adamkarvonen/nanoGPT
> To sample on Mac, uncomment line 21 in sample.py. To train on Mac, rename train_shakespeare_char_mac.py to train_shakespeare_char.py