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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 28-GEMMASCOPE-RES-16K
    11. 10365
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    INDEX
    Explanations

    terms related to eating and food consumption

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

    Eating and food-related contexts

    np_acts-logits-general · gemini-2.0-flash

    eating and meals

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 28-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_28/width_16k/average_l0_119
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.28.hook_resid_post
    Hook Layer
    28
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    endcsname
    -0.56
     ostavi
    -0.52
     فريبيس
    -0.51
     Biôgrafia
    -0.49
    PostInfinity
    -0.48
    Хьажоргаш
    -0.48
     חיצוניים
    -0.47
     "..\..\..\
    -0.47
    🟤
    -0.47
    новниш
    -0.45
    POSITIVE LOGITS
    🍴
    0.69
    🍽
    0.66
     feed
    0.63
     eaten
    0.63
     Feed
    0.62
    feed
    0.62
     FEED
    0.61
     meal
    0.60
     meals
    0.60
    Feeding
    0.60
    Activations Density 0.323%

    No Known Activations