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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 18-GEMMASCOPE-RES-16K
    11. 12531
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    INDEX
    Explanations

    information related to the nutritional content and dietary characteristics of specific vegetables and plants

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

    Consumption and diversity of vegetables

    np_acts-logits-general · gemini-2.0-flash

    vegetable, vegetables, greens

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 18-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_18/width_16k/average_l0_74
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.18.hook_resid_post
    Hook Layer
    18
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Filmographie
    -0.65
     Cement
    -0.64
     surla
    -0.64
    SequentialGroup
    -0.62
    oredCriteria
    -0.62
    PMailer
    -0.60
    whisky
    -0.59
    Whiskey
    -0.59
    VersionUID
    -0.59
     cemento
    -0.59
    POSITIVE LOGITS
     vegetables
    0.90
     vegetable
    0.87
     greens
    0.84
     leafy
    0.79
     Vegetable
    0.69
     veggies
    0.69
     cabbage
    0.69
     veggie
    0.67
     verdura
    0.67
    Greens
    0.67
    Activations Density 0.184%

    No Known Activations