[Bug Report] HookedTranformer.generate() with model.tokenizer unset gives pad_token_id error

[JackCai1206]

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Describe the bug
When calling HookedTranformer.generate() without initializing the model with a tokenizer and having the default use_past_kv_cache=True, I am getting an error 'NoneType' object has no attribute 'pad_token_id'. I believe this is because, when use_past_kv_cache=True, the library needs to determine the pad tokens from an input, so it assumes mode.tokenizer is also set so it can the pad token id. However, in my use case, I am not using a tokenizer for my model. Maybe there can be a way to manually supply the pad_token_id in this case?

Code example

from transformer_lens import HookedTransformer, HookedTransformerConfig
import torch as t

cfg = HookedTransformerConfig(
    n_layers=1,
    n_heads=1,
    d_model=4,
    d_vocab=4,
    n_ctx=4,
    d_head=2,
    act_fn='relu'
)

model = HookedTransformer(cfg)

input = t.tensor([[0, 1, 2, 3], [0, 1, 2, 3]], dtype=t.long)
model.generate(input, eos_token_id=0)

System Info
Describe the characteristic of your environment:
Linux
transformer_lens version 1.12.0

Additional context
Add any other context about the problem here.

Checklist

• I have checked that there is no similar issue in the repo (required)

[neelnanda-io]

Interesting! What's the use case?

Either way, it'd be an easy fix to just add an optional pad_token_id parameter to the generate function, feel free to make a PR

[JackCai1206]

Sounds good I can try to make a PR here. I am training a model to solve integer addition problems, and it uses simple character-level tokenization. Maybe it is possible to load such a tokenizer from hugginface but I haven't found any, so I just used a custom encode and decode function. This means the model.tokenizer is unset for me.