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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 24-GEMMASCOPE-RES-16K
    11. 10547
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    Explanations

    references to dining experiences and food service details

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

    about dining or tables

    np_acts-logits-general · gemini-2.0-flash

    table where

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 24-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_24/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.24.hook_resid_post
    Hook Layer
    24
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     arşivlendi
    -0.48
     kompres
    -0.46
     totalCount
    -0.45
    BibitemOpen
    -0.44
     bezit
    -0.43
     poffible
    -0.43
     Paglinawan
    -0.43
    ServletException
    -0.43
     krok
    -0.42
    URLException
    -0.41
    POSITIVE LOGITS
     restaurant
    0.95
     diners
    0.94
     dining
    0.94
     waiter
    0.89
     tablecloth
    0.86
     waiters
    0.84
     Restaurant
    0.81
     table
    0.80
     diner
    0.79
     waitress
    0.79
    Activations Density 0.162%

    No Known Activations