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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 4868
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    INDEX
    Explanations

    food-related items, particularly focusing on vegetables and their diversity

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

    Types of vegetables and plant names

    np_acts-logits-general · gemini-2.0-flash

    vegetables

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_22/width_16k/average_l0_72
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    alcoholic
    -0.60
     alcohol
    -0.57
    coffee
    -0.54
    alcohol
    -0.54
    Alcohol
    -0.54
     whisky
    -0.53
     alkoh
    -0.53
     Whiskey
    -0.53
     whiskey
    -0.52
    アルコール
    -0.52
    POSITIVE LOGITS
     vegetables
    0.91
     lettuce
    0.82
     greens
    0.81
     veggies
    0.79
     cabbage
    0.77
     broccoli
    0.77
     vegetable
    0.77
     Broccoli
    0.74
     carrots
    0.74
     iceberg
    0.74
    Activations Density 0.231%

    No Known Activations