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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 7444
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    Explanations

    mentions of drinking and beverage-related activities

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

    Drinking beverages

    np_acts-logits-general · gemini-2.0-flash

    drinking alcoholic beverages

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_22/width_16k/average_l0_72
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    XmlEnum
    -0.64
     <<<<<<<<<<<<<<
    -0.63
    ArgsConstructor
    -0.62
    StoryboardSegue
    -0.61
     noqa
    -0.60
     gyhoeddwyd
    -0.60
    łości
    -0.57
     internetowa
    -0.56
     Ingredients
    -0.55
    󠁴
    -0.54
    POSITIVE LOGITS
     beer
    0.72
     wine
    0.66
    Portale
    0.58
     κρα
    0.56
     champagne
    0.55
     vino
    0.55
     beers
    0.53
     strong
    0.53
    DllImport
    0.53
    beer
    0.52
    Activations Density 0.120%

    No Known Activations