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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. 3-RES-JB
    6. 17342
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     credits
    -0.68
    ULE
    -0.66
     Penal
    -0.66
     BALL
    -0.64
     Nation
    -0.64
    lication
    -0.61
     Tide
    -0.61
     oun
    -0.60
     Bean
    -0.60
     Proposition
    -0.60
    POSITIVE LOGITS
    maxwell
    0.77
    zos
    0.76
     resusc
    0.73
    rium
    0.70
    ims
    0.67
    wings
    0.67
     Vie
    0.66
    hift
    0.64
    urdy
    0.64
    wn
    0.64
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.