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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 1728
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    Explanations

    proper nouns related to military ships and units

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

    U.S. Navy or Marine Corps locations/units

    np_acts-logits-general · gemini-2.0-flash

    Navy, Naval, USN, ships, aviation

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_22/width_16k/average_l0_72
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    jsdelivr
    -0.53
    Euler
    -0.52
     truck
    -0.51
    tren
    -0.51
     Soldier
    -0.50
     cargo
    -0.50
    Soldier
    -0.49
     mercenaries
    -0.49
    stof
    -0.48
    munic
    -0.48
    POSITIVE LOGITS
    تقاوى
    0.69
     Naval
    0.65
    LLocation
    0.63
    RenderAtEndOf
    0.63
     USN
    0.63
     Admiral
    0.62
     ویکی‌پدی
    0.62
    ViewImports
    0.61
     naval
    0.61
     submarine
    0.61
    Activations Density 0.145%

    No Known Activations