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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 31-GEMMASCOPE-RES-16K
    11. 338
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    INDEX
    Explanations

    elements related to dining experiences and restaurant reviews

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

    words and phrases describing restaurant ambiance, service quality, and dining experience.

    oai_token-act-pair · claude-4-5-haikuTriggered by @emiglarou
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 31-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_31/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.31.hook_resid_post
    Hook Layer
    31
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    コンビニ
    -0.44
     خواب
    -0.41
    ITERIA
    -0.40
    Household
    -0.38
     زی
    -0.38
    MessageOf
    -0.38
     natin
    -0.37
    guém
    -0.36
     compro
    -0.36
     tidur
    -0.35
    POSITIVE LOGITS
     restaurant
    1.16
     menu
    1.11
     diners
    1.07
     seating
    1.03
     waiter
    1.02
     menus
    1.02
     waitress
    1.02
     Restaurant
    1.00
     waiters
    0.99
     dining
    0.98
    Activations Density 0.247%

    No Known Activations