We can publish this library on PyPI so that people can use this package simply using pip install lm-saes! However, before this we should first get this library well-tested and well-documented:
Besides, even if we publish this library, people may still need to clone this repository for using the visualization tools. Perhaps we can publish docker images of the backend & frontend of visualization.
We can publish this library on PyPI so that people can use this package simply using
pip install lm-saes! However, before this we should first get this library well-tested and well-documented:Besides, even if we publish this library, people may still need to clone this repository for using the visualization tools. Perhaps we can publish docker images of the backend & frontend of visualization.