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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. 3-RES-JB
    6. 9960
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     ceilings
    -0.66
     SHARES
    -0.64
     births
    -0.63
    Introdu
    -0.62
     pid
    -0.61
    Driver
    -0.61
     bedrooms
    -0.61
     Pigs
    -0.61
     Tune
    -0.60
    IDES
    -0.60
    POSITIVE LOGITS
    theless
    0.74
    ulla
    0.73
    urations
    0.71
    arcity
    0.70
    allery
    0.69
     vice
    0.69
    algia
    0.67
    urga
    0.66
    earcher
    0.66
    ukong
    0.65
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.