© 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. 8893
    Prev
    Next
    INDEX
    Explanations

    terms and phrases related to cattle and their health conditions

    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
    :✨
    -0.57
    참고
    -0.42
     disambiguazione
    -0.39
     ExecuteAsync
    -0.38
    RegistryLite
    -0.38
    esModule
    -0.36
    
    -0.36
    aterdag
    -0.35
     Réponses
    -0.35
    BeginContext
    -0.35
    POSITIVE LOGITS
     cows
    0.91
     cattle
    0.88
     heifers
    0.83
     Cows
    0.80
     Cattle
    0.80
     calves
    0.79
    cattle
    0.77
    Cattle
    0.77
     livestock
    0.75
     bulls
    0.74
    Activations Density 0.604%

    No Known Activations