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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. 5-RES-JB
    6. 12120
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    merce
    -0.72
     BCC
    -0.69
     endif
    -0.68
    zyme
    -0.67
    uren
    -0.66
    MC
    -0.65
     Kau
    -0.63
     Atlantis
    -0.62
    atur
    -0.61
    gments
    -0.61
    POSITIVE LOGITS
    dylib
    0.80
    BRE
    0.76
    ascript
    0.73
    yip
    0.73
    luaj
    0.71
    otti
    0.68
    EStreamFrame
    0.67
    ivalry
    0.67
     journalism
    0.66
    arist
    0.63
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.