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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 2424
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    Explanations

    phrases that describe actions or qualities related to more than one entity or concept

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     nonetheless
    -0.75
    etheless
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    .''.
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    ]).
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    ccording
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     +++
    -0.62
    )))
    -0.60
    Published
    -0.58
     Lastly
    -0.57
    cellaneous
    -0.56
    POSITIVE LOGITS
     but
    1.32
    but
    1.17
    But
    0.99
     BUT
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     But
    0.95
    ;}
    0.87
    BUT
    0.78
     nor
    0.74
    However
    0.72
    })
    0.72
    Activations Density 0.383%

    No Known Activations