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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 0-RES-JB
    11. 5100
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ascript
    -0.72
    ????????
    -0.72
    tein
    -0.70
    oeuv
    -0.69
    inventoryQuantity
    -0.69
    abus
    -0.67
    èª
    -0.65
    iste
    -0.63
    Ver
    -0.62
    agne
    -0.62
    POSITIVE LOGITS
    weather
    0.66
    idth
    0.61
    idad
    0.61
    ewater
    0.60
    MET
    0.60
     OWN
    0.60
    rican
    0.57
    rising
    0.57
    feet
    0.55
    osite
    0.54
    Activations Density 0.000%

    No Known Activations

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