© Neuronpedia 2026
    Privacy & TermsBlogGitHubSlackTwitterContact
    Neuronpedia logo - a computer chip with a rounded viewfinder border around it

    Neuronpedia

    Jacobian LensNEW
    Natural Language
    Autoencoders
    NEW    Assistant AxisNEWCircuit TracerUPDATESteerSAE EvalsExportsinterp-engineNEWAPI Community BlogPrivacy & TermsContact
    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 11982
    Prev
    Next
    INDEX
    Explanations

    the word "so" in various contexts, often indicating emphasis or degree in statements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_23/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     elástica
    -0.46
    Ethylbenzene
    -0.45
    ท์
    -0.44
    kozás
    -0.43
     trasera
    -0.42
     eficaz
    -0.41
     Kunde
    -0.41
    lceil
    -0.41
     griega
    -0.41
     blanche
    -0.41
    POSITIVE LOGITS
     nahilalakip
    0.85
    So
    0.78
     SO
    0.76
     المعيارى
    0.73
     So
    0.73
     so
    0.73
    Sooo
    0.73
     noDo
    0.68
    Soo
    0.66
     AssemblyCulture
    0.65
    Activations Density 0.126%

    No Known Activations