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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. 3-RES-JB
    11. 12349
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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
    sov
    -0.77
    wana
    -0.76
    gger
    -0.73
    ournal
    -0.72
    ãĤ´ãĥ³
    -0.72
    */(
    -0.71
    ilater
    -0.70
    pad
    -0.69
    orf
    -0.69
    ription
    -0.67
    POSITIVE LOGITS
     highs
    0.96
    ically
    0.67
     lows
    0.66
     HIGH
    0.63
    ies
    0.61
     coasts
    0.61
    ache
    0.59
     depends
    0.58
     Uncle
    0.57
    fore
    0.57
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.