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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. 15221
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    INDEX
    Explanations

    terms related to military personnel and their health behaviors

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

    the military

    np_acts-logits-general · gemini-2.0-flash

    military enlistment and rejection

    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
    IntoConstraints
    -0.39
    EditorBrowsable
    -0.38
     Gesells
    -0.36
    FactoryBean
    -0.34
    oredCriteria
    -0.32
    лтемелер
    -0.32
     katal
    -0.31
    alertDialog
    -0.31
     fee
    -0.31
    CrossRef
    -0.30
    POSITIVE LOGITS
     military
    1.91
     Military
    1.89
    Military
    1.84
    military
    1.81
     MILITARY
    1.63
     Army
    1.58
     militaire
    1.57
     militaires
    1.55
     militares
    1.55
     soldier
    1.55
    Activations Density 0.964%

    No Known Activations