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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. 4562
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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
    adder
    -0.76
     Antar
    -0.75
     harb
    -0.73
    ãĤ©
    -0.73
     Archdemon
    -0.73
     Dud
    -0.72
    igating
    -0.71
    look
    -0.69
    chwitz
    -0.69
    foundland
    -0.68
    POSITIVE LOGITS
     grain
    0.66
     nutrition
    0.65
    ULAR
    0.64
    ividual
    0.64
     complementary
    0.64
    ranch
    0.62
     distribution
    0.61
     perf
    0.61
     utility
    0.61
     crunch
    0.61
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.