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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 2465
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    Explanations

    dishes and ingredients commonly associated with Asian cuisine, particularly Malaysian and Indian foods

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

    Food dishes (often curries or stews)

    np_acts-logits-general · gemini-2.0-flash

    food and dishes

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 9-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_16k/average_l0_88
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    WriteLiteral
    -0.37
     term
    -0.36
    willReturn
    -0.35
    Nonnull
    -0.34
     intra
    -0.33
     Zem
    -0.32
    TSCA
    -0.32
     émer
    -0.32
     구
    -0.30
     dared
    -0.30
    POSITIVE LOGITS
     salad
    0.71
     Spaghetti
    0.71
    cakes
    0.71
    Spaghetti
    0.69
    GEBURTSDATUM
    0.69
    spaghetti
    0.68
     stew
    0.68
     cake
    0.68
    NameInMap
    0.68
    cake
    0.67
    Activations Density 0.276%

    No Known Activations