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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. 14661
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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
    ESA
    -0.78
    stall
    -0.75
    aida
    -0.74
     Emmy
    -0.71
    anye
    -0.65
     NCT
    -0.64
     rounding
    -0.62
     foreclosure
    -0.62
    dinand
    -0.62
    wall
    -0.61
    POSITIVE LOGITS
    otos
    0.77
    zers
    0.72
    ipt
    0.71
     McGu
    0.68
     dare
    0.68
     somet
    0.68
    uga
    0.67
     furthermore
    0.67
    ouble
    0.67
     Seconds
    0.66
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.