© 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. 36-GEMMASCOPE-RES-16K
    11. 5365
    Prev
    Next
    INDEX
    Explanations

    references to food and beverage consumption

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 36-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_36/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.36.hook_resid_post
    Hook Layer
    36
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     coffee
    -0.90
    coffee
    -0.82
     Coffee
    -0.79
     COFFEE
    -0.77
     tea
    -0.77
     wine
    -0.73
    Coffee
    -0.73
     coffe
    -0.73
     Kaffee
    -0.67
     beverages
    -0.66
    POSITIVE LOGITS
     AssemblyTitle
    0.59
    tagHelperRunner
    0.51
     served
    0.46
     shot
    0.45
    SourceChecksum
    0.45
     shots
    0.44
    üyada
    0.44
     bezeichneter
    0.43
     poured
    0.42
     servido
    0.42
    Activations Density 0.131%

    No Known Activations