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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. 3-RES-JB
    6. 15499
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    bilt
    -0.81
     capitalize
    -0.67
    glers
    -0.66
    terson
    -0.65
    mong
    -0.62
    aughs
    -0.62
    butt
    -0.61
    ittal
    -0.61
    strap
    -0.61
    ipation
    -0.60
    POSITIVE LOGITS
    ãĢIJ
    0.78
    ocy
    0.77
    ãĢİ
    0.64
    +++
    0.62
    MG
    0.62
    MH
    0.61
    etheless
    0.61
    =(
    0.61
     Timeline
    0.60
    oga
    0.59
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.