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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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    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

    slice step (negative activations)

    python-code · gemini-2.5-flash-lite

    lambda argument in key function

    python-code · gemini-2.5-flash-lite
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    Negative Logits
     representing
    -0.05
     given
    -0.03
     each
    -0.03
     that
    -0.03
     the
    -0.03
    ]][
    -0.03
     represe
    -0.03
     based
    -0.03
     The
    -0.03
     and
    -0.02
    Positive Logits
    da
    0.01
     %
    0.00
    &
    0.00
    #
    0.00
    '
    0.00
    *
    0.00
    %
    0.00
    )
    0.00
    !
    0.00
    "
    0.00
    Activations Density 81.390%

    No Known Activations