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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. 4342
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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
    Trend
    -0.74
    Rated
    -0.68
    )</
    -0.68
    Ing
    -0.67
     Letter
    -0.64
    Hug
    -0.62
     WW
    -0.62
    Interest
    -0.60
    TO
    -0.60
     LET
    -0.60
    POSITIVE LOGITS
    bris
    0.81
    arre
    0.79
    acca
    0.75
    ety
    0.71
    ija
    0.65
    usra
    0.65
    eers
    0.64
    ulia
    0.64
    iba
    0.64
    amura
    0.63
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.