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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. 9723
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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
    thia
    -0.74
     Rouse
    -0.64
    arij
    -0.62
     Apostle
    -0.62
     apostle
    -0.62
     Reese
    -0.61
     Wrath
    -0.61
     Savior
    -0.61
    utra
    -0.61
    seeing
    -0.60
    POSITIVE LOGITS
     gradient
    0.67
    Ì
    0.65
     upgr
    0.64
    ãĥīãĥ©
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    ŃĶ
    0.64
    zip
    0.64
    deb
    0.63
    ogical
    0.62
    ETA
    0.62
    MI
    0.61
    Activations Density 0.000%

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