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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 1-RES-JB
    11. 13512
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    ipop
    -0.75
    acons
    -0.74
    owship
    -0.73
    asty
    -0.70
    ffee
    -0.70
     nutrient
    -0.69
    oug
    -0.69
     caffe
    -0.69
     flock
    -0.68
    oldown
    -0.68
    POSITIVE LOGITS
    emphasis
    1.09
    again
    0.93
    both
    0.92
    via
    0.92
    ...)
    0.90
    possibly
    0.87
    âĢ¦)
    0.86
    meaning
    0.84
    especially
    0.83
    Courtesy
    0.82
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.