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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 20-GEMMASCOPE-RES-131K
    11. 8226
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    Explanations

    references to various types of eateries and dining establishments

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

    shops, restaurants, and bars

    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-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_20/width_131k/average_l0_81
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    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
     EClass
    -0.41
    xaxis
    -0.40
    gridx
    -0.40
    msgSender
    -0.39
    BufferException
    -0.39
     الاطلاع
    -0.38
    aporte
    -0.38
     hindsight
    -0.38
    TargetException
    -0.37
    soe
    -0.37
    POSITIVE LOGITS
     shops
    0.68
     restaurants
    0.68
     establishments
    0.66
    RenderAtEndOf
    0.64
     bookstores
    0.63
    ร้าน
    0.61
     kedai
    0.60
     lojas
    0.60
     magasins
    0.59
     autorytatywna
    0.59
    Activations Density 0.033%

    No Known Activations