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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. 7626
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    Explanations

    references related to military service and enlistment, particularly concerning young men in Lithuania

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

    military conscription/enlistment

    np_acts-logits-general · gemini-2.0-flash

    military enlistment and draft

    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
    뀜
    -0.43
    期刊论文
    -0.42
     tramonto
    -0.41
    MessageTagHelper
    -0.40
    Subviews
    -0.40
    reszcie
    -0.39
     pemimpin
    -0.37
     intermédiaire
    -0.36
     współpracy
    -0.35
    WritableDatabase
    -0.35
    POSITIVE LOGITS
     military
    0.90
     draft
    0.86
     reserv
    0.86
    military
    0.81
    Military
    0.78
     army
    0.78
     enlistment
    0.77
     Army
    0.77
     Military
    0.76
     militar
    0.76
    Activations Density 0.298%

    No Known Activations