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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 34-GEMMASCOPE-RES-16K
    11. 14284
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    Explanations

    contexts related to restaurant dining experiences and food menus

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 34-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_34/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.34.hook_resid_post
    Hook Layer
    34
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ब्रेकडाउन
    -0.65
    TagMode
    -0.59
    URLException
    -0.55
     EconPapers
    -0.54
    AccessorTable
    -0.52
    コンビニ
    -0.49
    ITERIA
    -0.47
    MessageOf
    -0.47
    aporation
    -0.46
    endregion
    -0.45
    POSITIVE LOGITS
     seating
    1.19
     dining
    1.15
     waiter
    1.14
     diners
    1.13
     tables
    1.06
     waitress
    1.05
     waiters
    1.03
     restaurant
    1.01
     table
    1.00
     dine
    0.98
    Activations Density 0.220%

    No Known Activations