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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. 1641
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    Explanations

    instructions and guidelines related to eating etiquette

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

    Eating, food, and table etiquette

    np_acts-logits-general · gemini-2.0-flash

    eat, food, dining, and utensils

    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
     disambiguazione
    -0.44
    Bibliografie
    -0.42
    省市镇
    -0.42
    Inflater
    -0.41
    チール
    -0.40
     Paglinawan
    -0.39
    Atsauces
    -0.39
    ")));
    -0.36
    Demografía
    -0.36
    rógeno
    -0.35
    POSITIVE LOGITS
    SequentialGroup
    0.52
     diner
    0.50
     diners
    0.50
     tableware
    0.49
     utens
    0.46
     cutlery
    0.45
     salad
    0.45
    rowser
    0.44
     chewing
    0.44
    NCS
    0.43
    Activations Density 0.147%

    No Known Activations