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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 16-GEMMASCOPE-RES-16K
    11. 11905
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    Explanations

    references to different types of soups and their preparation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 16-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_16/width_16k/average_l0_75
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.16.hook_resid_post
    Hook Layer
    16
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Automatic
    -0.42
     Automatic
    -0.40
     vices
    -0.40
     аксе
    -0.39
     Autónoma
    -0.38
     MOTOR
    -0.37
     нанесе
    -0.36
    writeValue
    -0.35
    bebasan
    -0.35
    ToProps
    -0.35
    POSITIVE LOGITS
     Soup
    1.02
     soup
    0.98
    Soup
    0.96
     soups
    0.87
    soup
    0.79
     broth
    0.73
     Broth
    0.70
     stew
    0.68
    スープ
    0.66
     Stew
    0.65
    Activations Density 0.106%

    No Known Activations