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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. 2616
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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
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    No Comments

    Negative Logits
    essler
    -0.81
    hene
    -0.80
    cker
    -0.79
    yip
    -0.78
    enegger
    -0.77
    tek
    -0.72
    ofer
    -0.72
    omsky
    -0.69
    ozo
    -0.69
    nyder
    -0.68
    POSITIVE LOGITS
     withd
    0.68
     Fal
    0.63
    roll
    0.62
     caught
    0.62
     broom
    0.59
     wed
    0.56
     across
    0.56
    eline
    0.56
    EVA
    0.55
     hero
    0.55
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.