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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 33-GEMMASCOPE-RES-16K
    11. 9663
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    Explanations

    establishments related to food and dining experiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 33-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_33/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.33.hook_resid_post
    Hook Layer
    33
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     hospitals
    -0.47
    Hospitals
    -0.45
    INCIP
    -0.43
    コンビニ
    -0.42
    Companies
    -0.42
     ressource
    -0.42
    tamento
    -0.42
    izieren
    -0.41
     temples
    -0.40
    companies
    -0.39
    POSITIVE LOGITS
     menu
    1.00
     patrons
    0.78
     menus
    0.78
     upstairs
    0.76
     clientele
    0.75
     меню
    0.73
     menú
    0.70
     regulars
    0.70
     specials
    0.70
     seating
    0.70
    Activations Density 0.236%

    No Known Activations