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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. 1-RES-JB
    6. 5509
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    "],"
    -0.80
    SPONSORED
    -0.77
    APD
    -0.74
    WT
    -0.73
    amps
    -0.71
    CI
    -0.70
    ELS
    -0.69
     bearer
    -0.68
    IPS
    -0.67
     ISO
    -0.67
    POSITIVE LOGITS
    fortune
    0.82
    ensibly
    0.78
    imately
    0.72
    plot
    0.71
    hattan
    0.70
    riad
    0.70
    appropriately
    0.69
    rand
    0.68
    reed
    0.68
    ument
    0.67
    Activations Density 0.000%

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