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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 10-GEMMASCOPE-RES-16K
    11. 4054
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    Explanations

    various forms and contexts of the word "wear."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 10-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_10/width_16k/average_l0_113
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.10.hook_resid_post
    Hook Layer
    10
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    WebElementEntity
    -0.65
    HandlerContext
    -0.64
     kasarigan
    -0.59
    Grüsse
    -0.55
    XmlType
    -0.54
    StackNavigator
    -0.53
     propOrder
    -0.52
    脚注の使い方
    -0.52
     nahilalakip
    -0.52
     Keyes
    -0.51
    POSITIVE LOGITS
     wear
    1.45
     Wear
    1.43
    Wear
    1.38
     WEAR
    1.29
     wearing
    1.27
     wears
    1.21
    wearing
    1.17
     wore
    1.16
    wear
    1.13
     Wearing
    1.13
    Activations Density 0.090%

    No Known Activations