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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. 12249
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    Explanations

    references to food and drink items, particularly in the context of health and nutrition

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

    drinking or beverages

    np_acts-logits-general · gemini-2.0-flash

    drinks and beverages

    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
     vol
    -0.52
    ValueGeneration
    -0.48
     DbSet
    -0.47
     виправивши
    -0.47
    PreferredItem
    -0.47
     Friedhof
    -0.47
     furl
    -0.46
    fried
    -0.46
     fontWeight
    -0.45
     enctype
    -0.45
    POSITIVE LOGITS
     drink
    0.98
     drinking
    0.92
     Drink
    0.85
     drinks
    0.85
     smoothies
    0.84
     hydration
    0.84
     DRINK
    0.82
    Drinking
    0.82
     drank
    0.82
     drinker
    0.82
    Activations Density 0.115%

    No Known Activations