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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 16k
    9. 20-GEMMASCOPE-RES-16K
    11. 2235
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    Explanations

    references to various types of drinks, especially alcoholic and sweetened beverages

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

    beverages and drinking

    np_acts-logits-general · gemini-2.0-flash

    drinks and drinking

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 20-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-it-res/layer_20/width_16k/average_l0_91
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.20.hook_resid_post
    Hook Layer
    20
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Wilkes
    -0.46
    shadowOffset
    -0.45
     Integrity
    -0.44
    nagel
    -0.44
     early
    -0.43
    dataIndex
    -0.42
     Alameda
    -0.42
    <b>
    -0.42
     Bauer
    -0.41
    선
    -0.41
    POSITIVE LOGITS
     drink
    1.03
    drink
    1.02
     beverage
    1.00
    Drink
    0.99
     Drink
    0.99
     DRINK
    0.98
     drinks
    0.97
     Drinks
    0.94
    drinks
    0.93
    Drinks
    0.91
    Activations Density 0.129%

    No Known Activations