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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 0-GEMMASCOPE-RES-16K
    11. 9118
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    references to military personnel and actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 0-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_0/width_16k/average_l0_129
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.0.hook_resid_post
    Hook Layer
    0
    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
    -0.48
     BoxFit
    -0.42
     }{@
    -0.41
    JsonFormat
    -0.40
     AttributeSet
    -0.38
    AdapterView
    -0.38
    -------------</
    -0.37
    닝
    -0.37
    MigrationBuilder
    -0.37
     היתה
    -0.36
    POSITIVE LOGITS
     soldiers
    1.02
    soldier
    0.97
     soldier
    0.97
     army
    0.95
    soldiers
    0.94
     cavalry
    0.93
     Soldiers
    0.91
     Infantry
    0.91
     squadron
    0.88
     troops
    0.88
    Activations Density 1.733%

    No Known Activations