Code base
from sae_lens.toolkit.pretrained_saes_directory import get_pretrained_saes_directory df = pd.DataFrame.from_records( {k: v.__dict__ for k, v in get_pretrained_saes_directory().items()} ).T df.drop( columns=[ "expected_var_explained", "expected_l0", "config_overrides", "conversion_func", ], inplace=True, ) df
Neuron SAE Implementations
Training hyperparameters
demo
sae