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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 31-GEMMASCOPE-RES-16K
    11. 15099
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    Explanations

    terms and phrases related to military service and enlistment

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

    the phrase "in the [military/service/army/Navy]" or similar constructions describing military enrollment and service.

    oai_token-act-pair · claude-4-5-haikuTriggered by @emiglarou
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 31-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_31/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.31.hook_resid_post
    Hook Layer
    31
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tagHelperRunner
    -0.65
     StatelessWidget
    -0.51
    RenderAtEndOf
    -0.47
    esModule
    -0.46
     Direktur
    -0.46
    PageRoute
    -0.45
    HtmlAttribute
    -0.45
    AutoScaleMode
    -0.45
     NSCoder
    -0.45
     pinulongan
    -0.44
    POSITIVE LOGITS
     army
    1.48
     Army
    1.41
    army
    1.23
    Army
    1.21
     Navy
    1.20
     navy
    1.18
     armies
    1.13
     military
    1.07
     Armed
    1.06
     armed
    1.02
    Activations Density 0.294%

    No Known Activations