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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. 0-RES-JB
    6. 5533
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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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    No Comments

    Negative Logits
    ilipp
    -0.78
     intern
    -0.70
     Hond
    -0.65
    otaur
    -0.65
     capt
    -0.63
     Everett
    -0.63
     HAL
    -0.63
     Jol
    -0.63
     Dul
    -0.61
     Kund
    -0.60
    POSITIVE LOGITS
    rower
    0.80
    river
    0.76
    apple
    0.74
    DOM
    0.73
    Newsletter
    0.72
    Market
    0.70
    lance
    0.69
    SHIP
    0.68
    Beer
    0.67
     fortun
    0.66
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.