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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. 1-RES-JB
    11. 22850
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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
     metre
    -0.74
    thood
    -0.70
    arching
    -0.67
    fortune
    -0.66
     Magnum
    -0.66
    rolet
    -0.65
     armoured
    -0.63
     infinity
    -0.62
    placed
    -0.62
     Mercedes
    -0.62
    POSITIVE LOGITS
    inventoryQuantity
    0.72
    incinn
    0.69
    DEV
    0.68
     prototyp
    0.67
     Frazier
    0.65
    umbn
    0.64
    eding
    0.63
    ECA
    0.63
     fulfillment
    0.60
    NetMessage
    0.59
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.