© 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 EvalsExportsAPI 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. 3592
    Prev
    Next
    INDEX
    Explanations

    terms related to food consumption and dietary habits

    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
    ſcher
    -0.68
     initComponents
    -0.66
    formKey
    -0.66
     autorytatywna
    -0.63
     ſich
    -0.62
    DispatchToProps
    -0.62
     ſche
    -0.60
    にほんブログ村
    -0.60
    AutoField
    -0.59
    ſehen
    -0.59
    POSITIVE LOGITS
     consommation
    0.66
     CONSUM
    0.63
    Eating
    0.60
    consume
    0.57
    Eat
    0.57
    consumption
    0.56
     Consume
    0.56
     consumption
    0.56
    Consumption
    0.56
     consumo
    0.55
    Activations Density 0.200%

    No Known Activations