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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. 0-RES-JB
    6. 11986
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    INDEX
    Explanations
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    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     Became
    -0.69
     Donetsk
    -0.64
    chool
    -0.63
    ³³³³³³³³
    -0.63
    pur
    -0.62
    ARDIS
    -0.61
    ³³³³
    -0.61
     schizophren
    -0.59
    ormon
    -0.57
     Pur
    -0.57
    POSITIVE LOGITS
     Dates
    0.71
    INGTON
    0.68
     Reporter
    0.68
    onite
    0.68
    DAY
    0.66
    Comments
    0.65
    spring
    0.64
    ses
    0.64
    itta
    0.64
    ERY
    0.63
    Activations Density 0.000%

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