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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 7-GEMMASCOPE-RES-16K
    11. 12318
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    INDEX
    Explanations

    references to wearing clothing or accessories

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 7-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_7/width_16k/average_l0_92
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.7.hook_resid_post
    Hook Layer
    7
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    ChildScrollView
    -0.58
    HandlerContext
    -0.57
    脚注の使い方
    -0.53
     لينك
    -0.51
     kasarigan
    -0.51
     JpaRepository
    -0.50
    Hentet
    -0.48
    migrationBuilder
    -0.46
    Soup
    -0.46
    createStatement
    -0.45
    POSITIVE LOGITS
     wear
    2.30
     Wear
    2.16
    Wear
    2.09
     wearing
    2.03
     wears
    1.99
     WEAR
    1.92
     wore
    1.90
     Wearing
    1.82
    wear
    1.80
    wearing
    1.79
    Activations Density 0.084%

    No Known Activations