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    Circuit Sparsity
    No connected neurons data available
    Explanations

    is .isalnum() or .isalpha()

    python-code · gemini-2.5-flash-lite
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    16,384 prompts, 256 tokens each
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    neuronpedia/python-code-simplified
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    Negative Logits
    yp
    -0.08
     typ
    -0.06
    ords
    -0.06
    ype
    -0.06
    lable
    -0.06
    isit
    -0.05
    _type
    -0.05
    type
    -0.05
    ord
    -0.05
    instance
    -0.04
    Positive Logits
    ()<|
    0.05
    ub
    0.05
     by
    0.05
    _by
    0.05
    ()↵↵
    0.05
    ()↵
    0.05
    ob
    0.05
    ():↵
    0.04
    _sub
    0.04
    ())
    0.04
    Activations Density 76.976%

    No Known Activations

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    Circuit Sparsity
    No connected neurons data available
    Explanations

    closing parenthesis before def

    python-code · gemini-2.5-flash-lite
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    16,384 prompts, 256 tokens each
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    Negative Logits
    qrt
    -0.07
     return
    -0.07
    <|
    -0.06
    ating
    -0.05
    apping
    -0.05
     [[
    -0.04
    0
    -0.04
     tuple
    -0.04
     nx
    -0.04
     ("
    -0.03
    Positive Logits
    (file
    0.04
    jk
    0.04
    udoku
    0.03
    **
    0.03
     **
    0.03
    :↵
    0.03
     file
    0.03
    X
    0.03
    N
    0.03
     Ex
    0.03
    Activations Density 45.564%

    No Known Activations