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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 3-GEMMASCOPE-RES-16K
    11. 10778
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    Explanations

    references to breakfast foods and related meals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 3-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_3/width_16k/average_l0_59
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.3.hook_resid_post
    Hook Layer
    3
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Zahl
    -0.73
    endous
    -0.69
    kmäler
    -0.66
    Conor
    -0.63
    ksikon
    -0.63
    bhan
    -0.62
    hoots
    -0.62
    UMBIA
    -0.61
    openzeppelin
    -0.61
    ágeno
    -0.61
    POSITIVE LOGITS
     breakfast
    3.03
     Breakfast
    2.81
    Breakfast
    2.66
    breakfast
    2.64
     breakfasts
    2.49
     Frühstück
    1.93
     desayuno
    1.82
    早餐
    1.54
     colazione
    1.48
     desay
    1.47
    Activations Density 0.071%

    No Known Activations