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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 41-GEMMASCOPE-RES-16K
    11. 5059
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    Explanations

    references to alcoholic beverages and drinking activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 41-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_41/width_16k/average_l0_113
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.41.hook_resid_post
    Hook Layer
    41
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Drink
    -0.73
     Drinking
    -0.70
    Drink
    -0.68
     drinkers
    -0.68
    Drinking
    -0.66
     drinking
    -0.65
     DRINK
    -0.65
     drank
    -0.65
     drinker
    -0.63
     drink
    -0.62
    POSITIVE LOGITS
     wine
    0.66
     spirits
    0.60
     Corona
    0.59
     rum
    0.58
     Bud
    0.58
     Guinness
    0.54
     sake
    0.52
     cognac
    0.51
     Jack
    0.51
    portál
    0.50
    Activations Density 0.224%

    No Known Activations