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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. 9554
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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
    ĸļ
    -0.78
     ensu
    -0.76
     incorpor
    -0.71
     challeng
    -0.71
    ctuary
    -0.70
     streng
    -0.69
    chio
    -0.68
    pering
    -0.67
    uggle
    -0.67
    llular
    -0.67
    POSITIVE LOGITS
     Coverage
    0.66
    ages
    0.64
    GA
    0.63
    Distance
    0.63
     PLoS
    0.62
    inventoryQuantity
    0.62
    oland
    0.61
     Cann
    0.60
    JD
    0.59
     Examination
    0.59
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.