© 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. 9-GEMMASCOPE-RES-16K
    11. 12900
    Prev
    Next
    INDEX
    Explanations

    words indicating frequency or predominance, focusing on terms such as "mainly," "mostly," and "primarily."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 9-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_9/width_16k/average_l0_100
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     étoit
    -0.62
     myſelf
    -0.60
    UnitTesting
    -0.60
     '\\;'
    -0.59
     Banten
    -0.57
     مرئيه
    -0.57
    delaire
    -0.56
    iastes
    -0.55
     pinulongan
    -0.55
     ſever
    -0.55
    POSITIVE LOGITS
     mainly
    1.77
     primarily
    1.73
     Mainly
    1.60
     chiefly
    1.57
     mostly
    1.55
    Mainly
    1.54
    mainly
    1.52
     principally
    1.51
     Primarily
    1.49
    primarily
    1.48
    Activations Density 0.414%

    No Known Activations