pyvene.models.backpack_gpt2.modelings_intervenable_backpack_gpt2

Each modeling file in this library is a mapping between abstract naming of intervention anchor points and actual model module defined in the huggingface library.

We also want to let the intervention library know how to config the dimensions of intervention based on model config defined in the huggingface library.

Functions

create_backpack_gpt2([name, cache_dir])

Creates a GPT2 model, config, and tokenizer from the given name and revision