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README.md
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---
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license: mit
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---
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---
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license: mit
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---
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Cached SAE acts stored in CSR format. Not especially optimized for others' use/fleshed out.
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If you want to use them, do
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```
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import torch
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csr_kwargs = torch.load('FEAT_IDX.pt')
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# The matrices are stored in space-efficient formats that're incompatible with torch's sparse csr tensor.
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# Convert them back before constructing the matrix.
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csr_kwargs['crow_indices'] = csr_kwargs['crow_indices'].int()
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csr_kwargs['col_indices'] = csr_kwargs['crow_indices'].int()
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csr_kwargs['values'] = csr_kwargs['values'].float()/255
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feat_acts = torch.sparse_csr_tensor(**csr_kwargs)
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```
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