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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. 4-RES-JB
    6. 17466
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    dinand
    -0.76
    ongyang
    -0.72
    uyomi
    -0.72
    akening
    -0.72
    ogun
    -0.72
    othal
    -0.71
    iterranean
    -0.71
    ulkan
    -0.70
    ithering
    -0.68
    farious
    -0.67
    POSITIVE LOGITS
     Funk
    0.66
    WT
    0.66
     Byrd
    0.66
    camp
    0.65
     Clara
    0.65
    DB
    0.65
    stra
    0.64
    cap
    0.64
     Gibbs
    0.63
     Span
    0.63
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.