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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 30-GEMMASCOPE-RES-16K
    11. 15728
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    INDEX
    Explanations

    references to police and military actions or events

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot

    before numbers or symbols

    np_acts-logits-general · gemini-2.0-flash

    armed Lithuanian soldiers

    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
    Negative Logits
    ChildScrollView
    -0.52
     GlobalKey
    -0.45
     NSCoder
    -0.43
     analysed
    -0.42
    HtmlAttribute
    -0.42
    awtextra
    -0.41
     productor
    -0.40
     analyzed
    -0.40
    enumi
    -0.40
    uiente
    -0.40
    POSITIVE LOGITS
     soldiers
    0.98
     armed
    0.95
     uniformed
    0.95
     troops
    0.91
     guards
    0.88
     policemen
    0.80
     squads
    0.79
    soldiers
    0.78
     troopers
    0.77
     Guards
    0.75
    Activations Density 0.436%

    No Known Activations