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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. 2423
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    INDEX
    Explanations

    elements related to catering and meal preparation

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

    food or dining

    np_acts-logits-general · gemini-2.0-flash

    food and meals

    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
    tvguidetime
    -0.85
     esternos
    -0.63
     thirsty
    -0.62
     للمعارف
    -0.60
    CloseOperation
    -0.60
    wpi
    -0.59
     متعلقه
    -0.57
    pylene
    -0.56
     utafitiHapana
    -0.55
     Beverage
    -0.54
    POSITIVE LOGITS
     dinner
    1.01
     meals
    0.98
     meal
    0.98
     dinners
    0.93
    dinner
    0.82
     Dinner
    0.75
     dishes
    0.74
     maal
    0.70
    Dinner
    0.69
     repas
    0.69
    Activations Density 0.171%

    No Known Activations