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    Circuit Sparsity
    No connected neurons data available
    Explanations

    float division and modulo operations (negative activations)

    python-code · gemini-2.5-flash-lite

    `year` or `median`

    python-code · gemini-2.5-flash-lite
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    Negative Logits
    et
    -0.02
    rite
    -0.02
     E
    -0.01
    name
    -0.01
    ath
    -0.01
    rc
    -0.01
     ny
    -0.01
    ype
    -0.01
    type
    -0.01
    fig
    -0.01
    Positive Logits
    e
    0.05
    ce
    0.04
     e
    0.03
    ist
    0.03
    re
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    reate
    0.01
    inal
    0.01
    result
    0.01
     re
    0.01
     result
    0.01
    Activations Density 75.706%

    No Known Activations

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    Circuit Sparsity
    No connected neurons data available
    Explanations

    `for` loop with `range` (negative activations)

    python-code · gemini-2.5-flash-lite

    module and class instantiation

    python-code · gemini-2.5-flash-lite
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    Negative Logits
    fset
    -0.01
     possible
    -0.01
    hor
    -0.01
     directions
    -0.01
     neighbors
    -0.01
     adjac
    -0.01
     moves
    -0.01
     dx
    -0.01
     adj
    -0.01
     direction
    -0.01
    Positive Logits
     form
    0.01
     If
    0.00
     optim
    0.00
     results
    0.00
    _m
    0.00
    '
    0.00
    #
    0.00
    &
    0.00
    %
    0.00
    *
    0.00
    Activations Density 99.404%

    No Known Activations