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Datasets:
maxtaylordev
/
collusion-probes
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Tags:
interpretability
collusion
probing
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collusion-probes
4.52 GB
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1 contributor
History:
3 commits
maxtaylordev
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.gitattributes
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README.md
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Add dataset card with Llama attribution
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acts_C_Llama-3.1-8B-Instruct.npz
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acts_C_Qwen2.5-14B-Instruct.npz
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acts_C_Qwen2.5-7B-Instruct.npz
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acts_Llama-3.1-8B-Instruct.npz
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acts_Qwen2.5-14B-Instruct.npz
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acts_Qwen2.5-7B-Instruct.npz
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c_groups_Llama-3.1-8B-Instruct.npz
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c_groups_Qwen2.5-14B-Instruct.npz
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probes_Llama-3.1-8B-Instruct.pkl
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Detected Pickle imports (7)
"sklearn.linear_model._logistic.LogisticRegression"
,
"sklearn.pipeline.Pipeline"
,
"numpy.dtype"
,
"numpy._core.multiarray._reconstruct"
,
"sklearn.preprocessing._data.StandardScaler"
,
"numpy._core.multiarray.scalar"
,
"numpy.ndarray"
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probes_Qwen2.5-14B-Instruct.pkl
pickle
Detected Pickle imports (7)
"sklearn.linear_model._logistic.LogisticRegression"
,
"sklearn.pipeline.Pipeline"
,
"numpy.dtype"
,
"numpy._core.multiarray._reconstruct"
,
"sklearn.preprocessing._data.StandardScaler"
,
"numpy._core.multiarray.scalar"
,
"numpy.ndarray"
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probes_Qwen2.5-7B-Instruct.pkl
pickle
Detected Pickle imports (7)
"numpy._core.multiarray.scalar"
,
"sklearn.pipeline.Pipeline"
,
"sklearn.preprocessing._data.StandardScaler"
,
"numpy._core.multiarray._reconstruct"
,
"numpy.dtype"
,
"sklearn.linear_model._logistic.LogisticRegression"
,
"numpy.ndarray"
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runs_C_Llama-3.1-8B-Instruct.jsonl
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runs_C_Qwen2.5-14B-Instruct.jsonl
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runs_C_Qwen2.5-7B-Instruct.jsonl
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runs_Llama-3.1-8B-Instruct.jsonl
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20.7 MB
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runs_Qwen2.5-14B-Instruct.jsonl
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20.7 MB
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runs_Qwen2.5-7B-Instruct.jsonl
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