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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. 457
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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
    renheit
    -0.85
    ocre
    -0.79
    gow
    -0.78
    ourses
    -0.76
     Worst
    -0.74
    erity
    -0.72
     Means
    -0.70
     Vengeance
    -0.70
    estial
    -0.69
    ersen
    -0.69
    POSITIVE LOGITS
     rub
    0.68
     suppression
    0.66
     bulletin
    0.63
     inhibitor
    0.62
     button
    0.61
     blockade
    0.60
     revol
    0.60
     Oss
    0.58
     shields
    0.58
     inactive
    0.58
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.