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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. 7508
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    Explanations

    references to various breakfast food items and restaurant menus

    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
    ########.
    -0.84
     disambiguazione
    -0.79
     queſta
    -0.77
     للمعارف
    -0.77
     kasarigan
    -0.75
     للاسماء
    -0.71
    yntaxException
    -0.71
    HtmlAttribute
    -0.66
    AndEndTag
    -0.66
    MigrationBuilder
    -0.65
    POSITIVE LOGITS
     breakfast
    0.82
     Breakfast
    0.70
     desayuno
    0.63
    Breakfast
    0.63
     breakfasts
    0.60
     pancakes
    0.60
    breakfast
    0.59
     desay
    0.56
     Frühstück
    0.49
    bijt
    0.48
    Activations Density 0.241%

    No Known Activations