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License: MIT License
Knowledge Circuits in Pretrained Transformers
License: MIT License
Hi,
I ran your code and this gave me 100 circuits and a pickle file. I do not understand how I can detect from this which the best circuit is. Thanks!
When I run component.ipynb to analyse tinyllama, I encounter the following error:
transformer_lens/HookedTransformer.py", line 1838, in refactor_factored_attn_matrices self.cfg.positional_embedding_type != "rotary" AssertionError: You can't refactor the QK circuit when using rotary embeddings (as the QK matrix depends on the position of the query and key)
How should I analyse the experimental results of tinyllama? Thank you for your help.
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