© 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. 35-GEMMASCOPE-RES-16K
    11. 9003
    Prev
    Next
    INDEX
    Explanations

    references to prebiotic substances and their effects on gut health

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 35-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_35/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.35.hook_resid_post
    Hook Layer
    35
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     WQS
    -0.44
    NamedQueries
    -0.43
     PyLong
    -0.42
     çik
    -0.42
     Coffe
    -0.42
     teken
    -0.42
     Chí
    -0.41
    meral
    -0.41
     oprot
    -0.40
    vron
    -0.39
    POSITIVE LOGITS
     probiotic
    0.96
     fermented
    0.93
     fermentation
    0.91
     ferment
    0.88
     probiotics
    0.85
     Fermentation
    0.84
     Lacto
    0.73
     lactic
    0.73
     fer
    0.69
     starter
    0.69
    Activations Density 0.422%

    No Known Activations