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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. 19909
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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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    No Comments

    Negative Logits
    elsius
    -0.71
     decode
    -0.68
    xon
    -0.66
     ruins
    -0.66
    hattan
    -0.65
    Coin
    -0.64
     canal
    -0.62
     shorts
    -0.61
     censor
    -0.59
     colle
    -0.58
    POSITIVE LOGITS
    engers
    0.75
    inventoryQuantity
    0.74
    itud
    0.74
     Tempest
    0.72
    auld
    0.72
     KT
    0.70
    angu
    0.69
    hift
    0.68
    riers
    0.66
     Kub
    0.65
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.