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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 7-GEMMASCOPE-RES-16K
    11. 14866
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    Explanations

    mentions of drinking and beverages

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 7-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_7/width_16k/average_l0_92
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.7.hook_resid_post
    Hook Layer
    7
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     spore
    -0.52
     ovens
    -0.49
     Bauer
    -0.49
     Shale
    -0.49
     spatula
    -0.49
     squirrel
    -0.48
     Fargo
    -0.48
     Safran
    -0.48
     Mehl
    -0.47
     Gauss
    -0.47
    POSITIVE LOGITS
     drink
    2.13
    drink
    1.98
     Drink
    1.93
    Drink
    1.93
     DRINK
    1.92
     drinks
    1.83
     drinking
    1.82
     drank
    1.80
    Drinking
    1.69
     Drinking
    1.67
    Activations Density 0.128%

    No Known Activations