Skip to content

About

[NeurIPS 2024] Official implementation for our paper "On Mesa-Optimization in Autoregressively Trained Transformers: Emergence and Capability".

Resources

Stars

5 stars

Watchers

1 watching

Forks

Latest commit

 

History

2 Commits

Folders and files

Repository files navigation

On Mesa-Optimization in Autoregressively Trained Transformers: Emergence and Capability

This is the official implementation for NeurIPS 2024 paper On Mesa-Optimization in Autoregressively Trained Transformers: Emergence and Capability.

Dependencies

conda env create -f environment.yaml

Hyperparameters Configuration

Detailed hyperparameters config can be found in Appendix B.

Simulation Experiments

bash main_train_ar.sh #with hyperparameters in Appendix B

Visualization

python plot.py #specify the output

About

[NeurIPS 2024] Official implementation for our paper "On Mesa-Optimization in Autoregressively Trained Transformers: Emergence and Capability".

Resources

Stars

5 stars

Watchers

1 watching

Forks

Releases

Packages

Contributors

Languages