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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

    return statement and for loop (negative activations)

    python-code · gemini-2.5-flash-lite

    assignment or definition of variable `l`

    python-code · gemini-2.5-flash-lite
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    Negative Logits
    atus
    -0.03
    dict
    -0.02
    line
    -0.02
    olve
    -0.02
    ode
    -0.02
     en
    -0.01
    ual
    -0.01
     Re
    -0.01
     S
    -0.00
    '
    0.00
    Positive Logits
    lat
    0.02
    itude
    0.02
     lat
    0.02
     d
    0.02
    ge
    0.02
    prese
    0.02
     },↵
    0.01
     un
    0.01
    ss
    0.01
    an
    0.01
    Activations Density 75.931%

    No Known Activations