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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 24-GEMMASCOPE-RES-16K
    11. 10932
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    INDEX
    Explanations

    references to military reconnaissance units and their activities

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

    Military units, squadrons, or groups

    np_acts-logits-general · gemini-2.0-flash

    military units and ranks

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 24-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_24/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.24.hook_resid_post
    Hook Layer
    24
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ніципа
    -0.46
     насељу
    -0.45
     surla
    -0.43
    évaluateur
    -0.43
    AutoScaleMode
    -0.42
    XmlEnum
    -0.39
     intptr
    -0.38
     pagado
    -0.38
    ürm
    -0.37
    WithIOException
    -0.36
    POSITIVE LOGITS
     Military
    0.92
    Military
    0.85
     military
    0.83
     Army
    0.82
     commander
    0.77
    Army
    0.76
     Commanding
    0.75
     barracks
    0.73
    military
    0.73
     Soldiers
    0.73
    Activations Density 0.500%

    No Known Activations