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    Circuit Sparsity
    No connected neurons data available
    Explanations

    function calls and indexing (negative activations)

    python-code · gemini-2.5-flash-lite

    json.dumps and json.dump

    python-code · gemini-2.5-flash-lite
    Auto-Interp Tools
    Top Features by Cosine Similarity
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    Prompts (Dashboard)
    16,384 prompts, 256 tokens each
    Dataset (Dashboard)
    neuronpedia/python-code-simplified
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    Negative Logits
     !=
    -0.09
    gs
    -0.04
    ()<|
    -0.03
    ():↵
    -0.03
    ())
    -0.02
    ()
    -0.02
    ()↵↵
    -0.02
    ()↵
    -0.02
    ())↵
    -0.02
    (),
    -0.02
    Positive Logits
    ab
    0.03
     pi
    0.03
    lat
    0.02
    itude
    0.02
     lat
    0.02
    ge
    0.02
    .is
    0.02
     },↵
    0.01
    .num
    0.01
    text
    0.01
    Activations Density 97.872%

    No Known Activations

    PrevNext
    Close
    Circuit Sparsity
    No connected neurons data available
    Explanations

    modulo operator (%) or parentheses (() (negative activations)

    python-code · gemini-2.5-flash-lite

    list index/slice

    python-code · gemini-2.5-flash-lite
    Auto-Interp Tools
    Top Features by Cosine Similarity
    Configuration
    Prompts (Dashboard)
    16,384 prompts, 256 tokens each
    Dataset (Dashboard)
    neuronpedia/python-code-simplified
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    Embeds
    IFrame
    Link
    Negative Logits
     for
    -0.02
    (len
    -0.02
     any
    -0.02
    for
    -0.02
     len
    -0.02
     ""
    -0.02
    join
    -0.02
    '.
    -0.02
     sum
    -0.01
     zip
    -0.01
    Positive Logits
    ;
    0.02
     -
    0.02
    -
    0.01
     [-
    0.01
    ):↵
    0.01
    ]):↵
    0.01
     -=
    0.01
     at
    0.01
     initial
    0.01
     <=
    0.01
    Activations Density 72.280%

    No Known Activations