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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 9-GEMMASCOPE-RES-131K
    11. 28433
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    Explanations

    references to military units and their designations

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

    military squadron

    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-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_131k/average_l0_121
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    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
    ibatis
    -0.46
    MathML
    -0.44
     Mati
    -0.42
    Mati
    -0.41
    initView
    -0.41
    mati
    -0.40
    atalyst
    -0.38
     jPanel
    -0.38
     tässä
    -0.38
    Наталья
    -0.37
    POSITIVE LOGITS
     Squadron
    2.03
     squadron
    1.57
     squadrons
    1.29
     aeron
    0.65
     Squire
    0.61
     kasarigan
    0.60
    Squad
    0.59
     Skyscanner
    0.57
    modore
    0.57
     squire
    0.56
    Activations Density 0.008%

    No Known Activations