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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 16-GEMMASCOPE-RES-16K
    11. 13215
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    INDEX
    Explanations

    terms associated with meals and dining experiences

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

    eating meals

    np_acts-logits-general · gemini-2.0-flash

    dinner and meals

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 16-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_16/width_16k/average_l0_78
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.16.hook_resid_post
    Hook Layer
    16
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    '])){
    -0.69
    '])){
    -0.62
    ])));
    -0.58
    "])){
    -0.54
    '.$
    -0.52
    '));
    -0.51
    ча
    -0.50
    merkung
    -0.50
    ্ড
    -0.49
    ()));
    -0.49
    POSITIVE LOGITS
     dinner
    1.29
     meal
    1.25
     meals
    1.24
     DINNER
    1.18
     dinners
    1.18
    dinner
    1.16
     Meal
    1.13
     Dinner
    1.13
    Dinner
    1.09
    Meals
    1.09
    Activations Density 0.142%

    No Known Activations