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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 24-GEMMASCOPE-RES-16K
    11. 5205
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    Explanations

    references to drinking and consumption of beverages

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

    alcoholic beverages

    np_acts-logits-general · gemini-2.0-flash

    types of drinks

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 24-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_24/width_16k/average_l0_73
    Prompts (Dashboard)
    36,864 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
     <<<<<<<<<<<<<<
    -0.70
    ArgsConstructor
    -0.63
    ChildScrollView
    -0.62
    PyTuple
    -0.61
     Tasting
    -0.61
     noqa
    -0.59
     Drinking
    -0.58
    XmlEnum
    -0.57
     Drink
    -0.56
    Odkazy
    -0.55
    POSITIVE LOGITS
     wine
    0.67
     beer
    0.55
    Portale
    0.54
     vino
    0.53
     champagne
    0.50
     strong
    0.49
     STRONG
    0.48
     κρα
    0.48
     alak
    0.48
     spirits
    0.47
    Activations Density 0.134%

    No Known Activations