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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 28-GEMMASCOPE-RES-16K
    11. 1094
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    INDEX
    Explanations

    patterns and descriptors related to dietary habits and food consumption

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot

    Foods, diet, or sugar consumption

    np_acts-logits-general · gemini-2.0-flash

    sugary foods and drinks

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 28-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_28/width_16k/average_l0_119
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.28.hook_resid_post
    Hook Layer
    28
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    PARATUS
    -0.38
     orders
    -0.38
    pelier
    -0.36
     valid
    -0.35
     boneco
    -0.34
    translator
    -0.34
     braccia
    -0.34
     submit
    -0.34
    uerre
    -0.34
    operatives
    -0.33
    POSITIVE LOGITS
     sugary
    0.62
     AssemblyCulture
    0.61
     defaultstate
    0.59
    Avoid
    0.58
    MigrationBuilder
    0.58
    Foods
    0.56
     foods
    0.55
     InputDecoration
    0.54
     faſt
    0.53
    Excessive
    0.52
    Activations Density 0.301%

    No Known Activations