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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 12445
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    Explanations

    references to breakfast foods and related dining experiences

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

    breakfast, diners, or pancakes

    np_acts-logits-general · gemini-2.0-flash

    breakfast house, diner, IHOP

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 9-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_16k/average_l0_88
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     للاسماء
    -0.69
    makeConstraints
    -0.68
    InputBorder
    -0.67
    yntaxException
    -0.65
     defStyleAttr
    -0.63
    MessageTagHelper
    -0.63
    setVerticalGroup
    -0.61
    InstrumentedTest
    -0.60
     plufieurs
    -0.59
     queſta
    -0.59
    POSITIVE LOGITS
     breakfast
    0.63
     Breakfast
    0.52
    breakfast
    0.48
     pancakes
    0.47
     desayuno
    0.44
    Breakfast
    0.44
     diner
    0.43
     Diner
    0.43
     breakfasts
    0.42
    🥞
    0.42
    Activations Density 0.149%

    No Known Activations