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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 18-GEMMASCOPE-RES-16K
    11. 15791
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    Explanations

    terms related to "military" or "military units," including variations and context around them

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

    containing "mil" or related to the military

    np_acts-logits-general · gemini-2.0-flash

    Mil, Milli, milk, military

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 18-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_18/width_16k/average_l0_74
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.18.hook_resid_post
    Hook Layer
    18
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    فحة
    -0.82
    sizeCache
    -0.74
    PerformLayout
    -0.69
     HasFactory
    -0.67
    WebElementEntity
    -0.66
    جغرافيا
    -0.65
     snippetHide
    -0.65
    asley
    -0.65
    íncia
    -0.64
     estekak
    -0.64
    POSITIVE LOGITS
     MIL
    0.75
    Mil
    0.73
    Mili
    0.72
     Mili
    0.72
     mili
    0.70
     Mil
    0.70
     Milne
    0.66
     Milford
    0.65
    MIL
    0.61
    mili
    0.60
    Activations Density 0.118%

    No Known Activations