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for k in exp.global_cache.corrupted_cache.keys(): print(k, exp.global_cache.corrupted_cache[k].shape, k in exp.global_cache.online_cache)
returns lots of unnecessary things:
blocks.0.ln1.hook_scale torch.Size([40, 41, 8, 1]) False blocks.0.ln1.hook_normalized torch.Size([40, 41, 8, 512]) False ... blocks.0.attn.hook_attn_scores torch.Size([40, 8, 41, 41]) False blocks.0.attn.hook_pattern torch.Size([40, 8, 41, 41]) False blocks.0.attn.hook_z torch.Size([40, 41, 8, 64]) False
we should only be caching things that definitely matter. This should save memory and allow us to use bigger models when corrupted_cache_cpu=False
corrupted_cache_cpu=False
The text was updated successfully, but these errors were encountered:
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returns lots of unnecessary things:
we should only be caching things that definitely matter. This should save memory and allow us to use bigger models when
corrupted_cache_cpu=False
The text was updated successfully, but these errors were encountered: