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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. 0-RES-JB
    11. 9828
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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
     immersion
    -0.69
     upkeep
    -0.69
     artifact
    -0.68
     elves
    -0.65
     analogy
    -0.65
     rate
    -0.65
     Meter
    -0.64
     interval
    -0.63
     Spiral
    -0.63
     Siege
    -0.62
    POSITIVE LOGITS
    isi
    0.79
    ����
    0.77
    enz
    0.76
    essage
    0.76
    gha
    0.76
    rera
    0.76
    enza
    0.75
    oya
    0.74
    ère
    0.73
    ãĥ´ãĤ¡
    0.72
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.