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eoinf
/
pythia_saes
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xet
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pythia_saes
/
celestial-eon-40_llama
/
sparse_autoencoder
10.9 GB
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1 contributor
History:
1 commit
eoinf
Finetunes llama-2b resid-pre-16 SAEs on up to 100M tokens of Harry Potter
0fb60dd
verified
about 2 years ago
Llama-2-7b-hf_blocks.16.hook_mlp_out_s32768_200M-owt_100M_tokens_hp_finetuned.pt
pickle
Detected Pickle imports (23)
"torch.float32"
,
"pyarrow.lib.py_buffer"
,
"pyarrow.lib._reconstruct_record_batch"
,
"numpy.core.multiarray._reconstruct"
,
"datasets.arrow_dataset.Dataset"
,
"pyarrow.lib.chunked_array"
,
"torch._utils._rebuild_tensor_v2"
,
"sae.config.Config"
,
"__builtin__.bytearray"
,
"datasets.info.DatasetInfo"
,
"torch.FloatStorage"
,
"datasets.features.features.Value"
,
"pyarrow.lib.schema"
,
"datasets.table.InMemoryTable"
,
"pyarrow.lib.type_for_alias"
,
"pyarrow.lib._restore_array"
,
"pyarrow.lib.field"
,
"numpy.dtype"
,
"collections.OrderedDict"
,
"pyarrow.lib._reconstruct_table"
,
"datasets.features.features.Features"
,
"numpy.ndarray"
,
"_codecs.encode"
How to fix it?
1.09 GB
xet
Finetunes llama-2b resid-pre-16 SAEs on up to 100M tokens of Harry Potter
about 2 years ago
Llama-2-7b-hf_blocks.16.hook_mlp_out_s32768_200M-owt_10M_tokens_hp_finetuned.pt
pickle
Detected Pickle imports (23)
"torch.float32"
,
"pyarrow.lib.py_buffer"
,
"pyarrow.lib._reconstruct_record_batch"
,
"numpy.core.multiarray._reconstruct"
,
"datasets.arrow_dataset.Dataset"
,
"pyarrow.lib.chunked_array"
,
"torch._utils._rebuild_tensor_v2"
,
"sae.config.Config"
,
"__builtin__.bytearray"
,
"datasets.info.DatasetInfo"
,
"torch.FloatStorage"
,
"datasets.features.features.Value"
,
"pyarrow.lib.schema"
,
"datasets.table.InMemoryTable"
,
"pyarrow.lib.type_for_alias"
,
"pyarrow.lib._restore_array"
,
"pyarrow.lib.field"
,
"numpy.dtype"
,
"collections.OrderedDict"
,
"pyarrow.lib._reconstruct_table"
,
"datasets.features.features.Features"
,
"numpy.ndarray"
,
"_codecs.encode"
How to fix it?
1.09 GB
xet
Finetunes llama-2b resid-pre-16 SAEs on up to 100M tokens of Harry Potter
about 2 years ago
Llama-2-7b-hf_blocks.16.hook_mlp_out_s32768_200M-owt_20M_tokens_hp_finetuned.pt
pickle
Detected Pickle imports (23)
"torch.float32"
,
"pyarrow.lib.py_buffer"
,
"pyarrow.lib._reconstruct_record_batch"
,
"numpy.core.multiarray._reconstruct"
,
"datasets.arrow_dataset.Dataset"
,
"pyarrow.lib.chunked_array"
,
"torch._utils._rebuild_tensor_v2"
,
"sae.config.Config"
,
"__builtin__.bytearray"
,
"datasets.info.DatasetInfo"
,
"torch.FloatStorage"
,
"datasets.features.features.Value"
,
"pyarrow.lib.schema"
,
"datasets.table.InMemoryTable"
,
"pyarrow.lib.type_for_alias"
,
"pyarrow.lib._restore_array"
,
"pyarrow.lib.field"
,
"numpy.dtype"
,
"collections.OrderedDict"
,
"pyarrow.lib._reconstruct_table"
,
"datasets.features.features.Features"
,
"numpy.ndarray"
,
"_codecs.encode"
How to fix it?
1.09 GB
xet
Finetunes llama-2b resid-pre-16 SAEs on up to 100M tokens of Harry Potter
about 2 years ago
Llama-2-7b-hf_blocks.16.hook_mlp_out_s32768_200M-owt_30M_tokens_hp_finetuned.pt
pickle
Detected Pickle imports (23)
"torch.float32"
,
"pyarrow.lib.py_buffer"
,
"pyarrow.lib._reconstruct_record_batch"
,
"numpy.core.multiarray._reconstruct"
,
"datasets.arrow_dataset.Dataset"
,
"pyarrow.lib.chunked_array"
,
"torch._utils._rebuild_tensor_v2"
,
"sae.config.Config"
,
"__builtin__.bytearray"
,
"datasets.info.DatasetInfo"
,
"torch.FloatStorage"
,
"datasets.features.features.Value"
,
"pyarrow.lib.schema"
,
"datasets.table.InMemoryTable"
,
"pyarrow.lib.type_for_alias"
,
"pyarrow.lib._restore_array"
,
"pyarrow.lib.field"
,
"numpy.dtype"
,
"collections.OrderedDict"
,
"pyarrow.lib._reconstruct_table"
,
"datasets.features.features.Features"
,
"numpy.ndarray"
,
"_codecs.encode"
How to fix it?
1.09 GB
xet
Finetunes llama-2b resid-pre-16 SAEs on up to 100M tokens of Harry Potter
about 2 years ago
Llama-2-7b-hf_blocks.16.hook_mlp_out_s32768_200M-owt_40M_tokens_hp_finetuned.pt
pickle
Detected Pickle imports (23)
"torch.float32"
,
"pyarrow.lib.py_buffer"
,
"pyarrow.lib._reconstruct_record_batch"
,
"numpy.core.multiarray._reconstruct"
,
"datasets.arrow_dataset.Dataset"
,
"pyarrow.lib.chunked_array"
,
"torch._utils._rebuild_tensor_v2"
,
"sae.config.Config"
,
"__builtin__.bytearray"
,
"datasets.info.DatasetInfo"
,
"torch.FloatStorage"
,
"datasets.features.features.Value"
,
"pyarrow.lib.schema"
,
"datasets.table.InMemoryTable"
,
"pyarrow.lib.type_for_alias"
,
"pyarrow.lib._restore_array"
,
"pyarrow.lib.field"
,
"numpy.dtype"
,
"collections.OrderedDict"
,
"pyarrow.lib._reconstruct_table"
,
"datasets.features.features.Features"
,
"numpy.ndarray"
,
"_codecs.encode"
How to fix it?
1.09 GB
xet
Finetunes llama-2b resid-pre-16 SAEs on up to 100M tokens of Harry Potter
about 2 years ago
Llama-2-7b-hf_blocks.16.hook_mlp_out_s32768_200M-owt_50M_tokens_hp_finetuned.pt
pickle
Detected Pickle imports (23)
"torch.float32"
,
"pyarrow.lib.py_buffer"
,
"pyarrow.lib._reconstruct_record_batch"
,
"numpy.core.multiarray._reconstruct"
,
"datasets.arrow_dataset.Dataset"
,
"pyarrow.lib.chunked_array"
,
"torch._utils._rebuild_tensor_v2"
,
"sae.config.Config"
,
"__builtin__.bytearray"
,
"datasets.info.DatasetInfo"
,
"torch.FloatStorage"
,
"datasets.features.features.Value"
,
"pyarrow.lib.schema"
,
"datasets.table.InMemoryTable"
,
"pyarrow.lib.type_for_alias"
,
"pyarrow.lib._restore_array"
,
"pyarrow.lib.field"
,
"numpy.dtype"
,
"collections.OrderedDict"
,
"pyarrow.lib._reconstruct_table"
,
"datasets.features.features.Features"
,
"numpy.ndarray"
,
"_codecs.encode"
How to fix it?
1.09 GB
xet
Finetunes llama-2b resid-pre-16 SAEs on up to 100M tokens of Harry Potter
about 2 years ago
Llama-2-7b-hf_blocks.16.hook_mlp_out_s32768_200M-owt_60M_tokens_hp_finetuned.pt
pickle
Detected Pickle imports (23)
"torch.float32"
,
"pyarrow.lib.py_buffer"
,
"pyarrow.lib._reconstruct_record_batch"
,
"numpy.core.multiarray._reconstruct"
,
"datasets.arrow_dataset.Dataset"
,
"pyarrow.lib.chunked_array"
,
"torch._utils._rebuild_tensor_v2"
,
"sae.config.Config"
,
"__builtin__.bytearray"
,
"datasets.info.DatasetInfo"
,
"torch.FloatStorage"
,
"datasets.features.features.Value"
,
"pyarrow.lib.schema"
,
"datasets.table.InMemoryTable"
,
"pyarrow.lib.type_for_alias"
,
"pyarrow.lib._restore_array"
,
"pyarrow.lib.field"
,
"numpy.dtype"
,
"collections.OrderedDict"
,
"pyarrow.lib._reconstruct_table"
,
"datasets.features.features.Features"
,
"numpy.ndarray"
,
"_codecs.encode"
How to fix it?
1.09 GB
xet
Finetunes llama-2b resid-pre-16 SAEs on up to 100M tokens of Harry Potter
about 2 years ago
Llama-2-7b-hf_blocks.16.hook_mlp_out_s32768_200M-owt_70M_tokens_hp_finetuned.pt
pickle
Detected Pickle imports (23)
"torch.float32"
,
"pyarrow.lib.py_buffer"
,
"pyarrow.lib._reconstruct_record_batch"
,
"numpy.core.multiarray._reconstruct"
,
"datasets.arrow_dataset.Dataset"
,
"pyarrow.lib.chunked_array"
,
"torch._utils._rebuild_tensor_v2"
,
"sae.config.Config"
,
"__builtin__.bytearray"
,
"datasets.info.DatasetInfo"
,
"torch.FloatStorage"
,
"datasets.features.features.Value"
,
"pyarrow.lib.schema"
,
"datasets.table.InMemoryTable"
,
"pyarrow.lib.type_for_alias"
,
"pyarrow.lib._restore_array"
,
"pyarrow.lib.field"
,
"numpy.dtype"
,
"collections.OrderedDict"
,
"pyarrow.lib._reconstruct_table"
,
"datasets.features.features.Features"
,
"numpy.ndarray"
,
"_codecs.encode"
How to fix it?
1.09 GB
xet
Finetunes llama-2b resid-pre-16 SAEs on up to 100M tokens of Harry Potter
about 2 years ago
Llama-2-7b-hf_blocks.16.hook_mlp_out_s32768_200M-owt_80M_tokens_hp_finetuned.pt
pickle
Detected Pickle imports (23)
"torch.float32"
,
"pyarrow.lib.py_buffer"
,
"pyarrow.lib._reconstruct_record_batch"
,
"numpy.core.multiarray._reconstruct"
,
"datasets.arrow_dataset.Dataset"
,
"pyarrow.lib.chunked_array"
,
"torch._utils._rebuild_tensor_v2"
,
"sae.config.Config"
,
"__builtin__.bytearray"
,
"datasets.info.DatasetInfo"
,
"torch.FloatStorage"
,
"datasets.features.features.Value"
,
"pyarrow.lib.schema"
,
"datasets.table.InMemoryTable"
,
"pyarrow.lib.type_for_alias"
,
"pyarrow.lib._restore_array"
,
"pyarrow.lib.field"
,
"numpy.dtype"
,
"collections.OrderedDict"
,
"pyarrow.lib._reconstruct_table"
,
"datasets.features.features.Features"
,
"numpy.ndarray"
,
"_codecs.encode"
How to fix it?
1.09 GB
xet
Finetunes llama-2b resid-pre-16 SAEs on up to 100M tokens of Harry Potter
about 2 years ago
Llama-2-7b-hf_blocks.16.hook_mlp_out_s32768_200M-owt_90M_tokens_hp_finetuned.pt
pickle
Detected Pickle imports (23)
"torch.float32"
,
"pyarrow.lib.py_buffer"
,
"pyarrow.lib._reconstruct_record_batch"
,
"numpy.core.multiarray._reconstruct"
,
"datasets.arrow_dataset.Dataset"
,
"pyarrow.lib.chunked_array"
,
"torch._utils._rebuild_tensor_v2"
,
"sae.config.Config"
,
"__builtin__.bytearray"
,
"datasets.info.DatasetInfo"
,
"torch.FloatStorage"
,
"datasets.features.features.Value"
,
"pyarrow.lib.schema"
,
"datasets.table.InMemoryTable"
,
"pyarrow.lib.type_for_alias"
,
"pyarrow.lib._restore_array"
,
"pyarrow.lib.field"
,
"numpy.dtype"
,
"collections.OrderedDict"
,
"pyarrow.lib._reconstruct_table"
,
"datasets.features.features.Features"
,
"numpy.ndarray"
,
"_codecs.encode"
How to fix it?
1.09 GB
xet
Finetunes llama-2b resid-pre-16 SAEs on up to 100M tokens of Harry Potter
about 2 years ago