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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 31-GEMMASCOPE-RES-131K
    11. 24510
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    Explanations

    references to nutrient-dense foods and dietary diversity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    healthy and unhealthy foods

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 31-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_31/width_131k/average_l0_109
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.31.hook_resid_post
    Hook Layer
    31
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    surate
    -0.51
    aporation
    -0.50
     Watering
    -0.50
    hatian
    -0.47
    sipasi
    -0.47
    ConstraintMaker
    -0.46
    itonitis
    -0.46
    MethodManager
    -0.46
    XmlAttribute
    -0.46
    DateTimeField
    -0.46
    POSITIVE LOGITS
     foods
    1.65
     food
    1.33
    Foods
    1.30
    foods
    1.30
     Foods
    1.27
    food
    1.13
     alimentos
    1.06
     FOOD
    1.02
    食物
    1.01
    Food
    0.96
    Activations Density 0.053%

    No Known Activations