© 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

    start of function definition

    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
    ():↵
    -0.07
    )):↵
    -0.06
    ]:↵
    -0.05
    ):↵
    -0.05
    e
    -0.05
     +
    -0.04
    ]):↵
    -0.04
    ","
    -0.04
    |>
    -0.04
     and
    -0.04
    Positive Logits
     continue
    0.06
    ":
    0.03
    ↵↵
    0.03
    ↵
    0.03
    vious
    0.03
    ':
    0.03
    len
    0.02
     }↵
    0.02
    itial
    0.02
    ↵    ↵
    0.02
    Activations Density 6.013%

    No Known Activations

    PrevNext
    Close
    Circuit Sparsity
    No connected neurons data available
    Explanations

    closing parenthesis in function calls

    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
    ty
    -0.07
    ob
    -0.04
    ]
    -0.04
     the
    -0.03
    (len
    -0.02
    .txt
    -0.02
    .values
    -0.02
    [str
    -0.02
                ↵
    -0.02
    [int
    -0.02
    Positive Logits
     or
    0.07
    type
    0.05
     and
    0.04
     for
    0.04
     +
    0.03
    .is
    0.03
     [
    0.03
    _op
    0.02
    .num
    0.02
     *
    0.02
    Activations Density 24.333%

    No Known Activations