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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. 18044
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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
    Introduced
    -0.74
    APS
    -0.70
     Kraken
    -0.65
    arios
    -0.63
    bil
    -0.62
    ËĪ
    -0.62
    STAT
    -0.60
    INESS
    -0.60
    plom
    -0.57
    EVA
    -0.57
    POSITIVE LOGITS
    acious
    0.81
    ividual
    0.78
    emate
    0.72
    rice
    0.72
    aciously
    0.71
    orate
    0.70
    ently
    0.70
    opic
    0.68
    erent
    0.66
    olute
    0.64
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.