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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 0-RES-JB
    11. 23358
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    INDEX
    Explanations
    No Explanations Found
    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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    Negative Logits
    unders
    -0.65
    Mp
    -0.64
    Mine
    -0.63
    medi
    -0.61
     sorely
    -0.60
    Gs
    -0.60
     suite
    -0.59
    oggle
    -0.59
    bench
    -0.58
    venue
    -0.58
    POSITIVE LOGITS
    awei
    0.80
    skirts
    0.75
    ļéĨĴ
    0.69
    âĨij
    0.67
    adata
    0.63
     Cosponsors
    0.63
    onite
    0.63
    ré
    0.62
     Angelo
    0.62
    nikov
    0.61
    Activations Density 0.000%

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