© Neuronpedia 2026
    Privacy & TermsBlogGitHubSlackTwitterContact
    Neuronpedia logo - a computer chip with a rounded viewfinder border around it
    Neuronpedia
    Jacobian LensNEW
    Natural Language
    Autoencoders
    MAY 26    Assistant AxisJAN 26Circuit TracerAPR 26SteerSAE EvalsExportsinterp-engineNEW Community BlogPrivacy & TermsContact
    Side-by-side compare needs a wider screen.
    Open other featureClose compare
    PrevNext
    Close
    Circuit Sparsity
    No connected neurons data available
    Explanations

    the `__name__ == '__main__'` check (negative activations)

    python-code · gemini-2.5-flash-lite

    multiplication by 6 or 25

    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
    No Configuration Found
    Embeds
    IFrame
    Link
    Negative Logits
     Calculate
    -0.05
    alculate
    -0.04
    alc
    -0.04
    prese
    -0.04
     calculate
    -0.04
    valu
    -0.03
    _scores
    -0.02
     float
    -0.02
     comp
    -0.02
     sorted
    -0.01
    Positive Logits
     *
    0.03
    *
    0.03
    .ch
    0.02
     **
    0.02
     //
    0.02
     index
    0.02
    _index
    0.02
     ==
    0.01
     root
    0.01
    **
    0.01
    Activations Density 48.174%

    No Known Activations

    PrevNext
    Close
    Circuit Sparsity
    No connected neurons data available
    Explanations

    dictionary.get(...) + 1

    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
    No Configuration Found
    Embeds
    IFrame
    Link
    Negative Logits
    dint
    -0.03
    (),
    -0.03
    }")<|
    -0.03
     **
    -0.03
    ↵↵
    -0.02
    ↵
    -0.02
    ↵    ↵
    -0.02
    ↵            ↵
    -0.02
    ↵        ↵
    -0.02
    .get
    -0.02
    Positive Logits
    (r
    0.05
     q
    0.04
    q
    0.03
     _
    0.03
    args
    0.03
    .append
    0.03
    =
    0.03
    +
    0.02
    _r
    0.02
     return
    0.02
    Activations Density 68.433%

    No Known Activations