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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. 19017
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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
    ÙĴ
    -0.77
    Tile
    -0.74
    Laughs
    -0.69
    sworth
    -0.68
    Cur
    -0.65
    ļé
    -0.62
    017
    -0.59
    Deal
    -0.59
     Verse
    -0.59
     ens
    -0.59
    POSITIVE LOGITS
    obyl
    0.76
    agna
    0.74
    reporting
    0.71
    ouls
    0.69
    nai
    0.66
    ndra
    0.65
    unks
    0.65
    RNA
    0.65
    analysis
    0.65
    berman
    0.64
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.