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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 20-GEMMASCOPE-RES-131K
    11. 95440
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    Explanations

    terms associated with breakfast foods and dining experiences

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

    breakfast foods

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 20-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_20/width_131k/average_l0_81
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.20.hook_resid_post
    Hook Layer
    20
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    RTDA
    -0.52
    homonymie
    -0.52
     OFDb
    -0.50
     kasarigan
    -0.50
    ValueStyle
    -0.50
    tanleria
    -0.49
    EndContext
    -0.49
     חיצוניים
    -0.45
    ThroughAttribute
    -0.45
    Kaynakça
    -0.44
    POSITIVE LOGITS
     breakfast
    0.80
     Breakfast
    0.66
    breakfast
    0.66
    Breakfast
    0.66
     desayuno
    0.61
     breakfasts
    0.55
     desay
    0.54
     Frühstück
    0.49
     brunch
    0.46
     morning
    0.45
    Activations Density 0.004%

    No Known Activations