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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. 17729
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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
    Not in Any Lists

    No Comments

    Negative Logits
    geist
    -0.98
    opian
    -0.74
    dragon
    -0.71
    meyer
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     UCS
    -0.69
     Sunny
    -0.68
    guy
    -0.65
    razen
    -0.65
    akeru
    -0.65
     PHOTO
    -0.64
    POSITIVE LOGITS
    ":"/
    0.83
    raltar
    0.71
    Ħ¢
    0.67
    大
    0.65
    orem
    0.64
    inion
    0.64
     fn
    0.63
    OUR
    0.62
    Ń·
    0.62
    ECTION
    0.61
    Activations Density 0.000%

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