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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 12-GEMMASCOPE-RES-16K
    11. 10534
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    Explanations

    various types of breakfast foods and related dining experiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 12-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_12/width_16k/average_l0_130
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.12.hook_resid_post
    Hook Layer
    12
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ValueStyle
    -0.76
     queſta
    -0.72
    principalTable
    -0.68
    MigrationBuilder
    -0.66
    MethodManager
    -0.65
    yntaxException
    -0.62
    InputBorder
    -0.62
     MyBatis
    -0.62
     HttpNotFound
    -0.61
    URLException
    -0.58
    POSITIVE LOGITS
     breakfast
    1.16
     Breakfast
    1.05
    Breakfast
    1.02
     breakfasts
    0.98
     desayuno
    0.96
    breakfast
    0.95
     desay
    0.88
     Frühstück
    0.87
    bijt
    0.69
     colazione
    0.68
    Activations Density 0.216%

    No Known Activations