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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 30-GEMMASCOPE-RES-16K
    11. 12389
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    INDEX
    Explanations

    mentions of various types of foods, dietary components, and their classifications

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

    Follows conjunctions and prepositions

    np_acts-logits-general · gemini-2.0-flash

    fish, trucks, or bicycle

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 30-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_30/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.30.hook_resid_post
    Hook Layer
    30
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ONOMY
    -0.38
    Bottom
    -0.36
    hésite
    -0.36
    σμα
    -0.35
    ereien
    -0.35
     whistle
    -0.34
    LEncoder
    -0.34
    Демографія
    -0.34
     רג
    -0.34
    drag
    -0.33
    POSITIVE LOGITS
    
    0.69
    providedIn
    0.52
     propOrder
    0.52
    msgTypes
    0.50
    UnknownFieldSet
    0.50
    SaveChangesAsync
    0.50
    AnimationsModule
    0.47
     other
    0.45
    Билгалдахарш
    0.44
     invertebrates
    0.44
    Activations Density 1.129%

    No Known Activations