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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 16-GEMMASCOPE-RES-16K
    11. 1810
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    INDEX
    Explanations

    terms and phrases related to dietary patterns and obesity

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

    High sugar/fat food and beverages

    np_acts-logits-general · gemini-2.0-flash

    unhealthy foods and beverages

    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
     nahilalakip
    -0.80
    GEBURTSDATUM
    -0.79
     للاسماء
    -0.74
    Hentet
    -0.74
    CloseOperation
    -0.74
     ddelweddau
    -0.73
     <=",
    -0.72
     Volunteers
    -0.71
    Попис
    -0.69
     виправивши
    -0.69
    POSITIVE LOGITS
     obesity
    0.49
     junk
    0.48
    塑
    0.44
     obes
    0.41
     Laden
    0.41
     excessive
    0.40
     unhealthy
    0.40
    junk
    0.40
     ImGui
    0.39
    obes
    0.39
    Activations Density 0.585%

    No Known Activations