© 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

    elif and else statements (negative activations)

    python-code · gemini-2.5-flash-lite

    list of items

    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
    xF
    -0.06
    loat
    -0.03
    self
    -0.02
    .random
    -0.02
    _neighbor
    -0.02
    ward
    -0.02
     step
    -0.01
     max
    -0.01
    [:
    -0.01
     me
    -0.01
    Positive Logits
    .strip
    0.03
    .split
    0.02
    append
    0.02
     heapq
    0.02
    _to
    0.01
     values
    0.01
     code
    0.01
     can
    0.01
    .add
    0.01
     has
    0.01
    Activations Density 34.086%

    No Known Activations

    PrevNext
    Close
    Circuit Sparsity
    No connected neurons data available
    Explanations

    assignment or comparison operators (negative activations)

    python-code · gemini-2.5-flash-lite

    `in` keyword followed by `(`

    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
    No
    -0.02
    ner
    -0.01
     n
    -0.01
    .n
    -0.01
    /
    -0.01
     nx
    -0.01
    (N
    -0.01
    num
    -0.01
     as
    -0.01
    (n
    -0.01
    Positive Logits
    xF
    0.03
     the
    0.02
     [(
    0.02
    loat
    0.02
     (
    0.01
    self
    0.01
     ((
    0.01
    (len
    0.01
    V
    0.01
     dist
    0.01
    Activations Density 99.807%

    No Known Activations