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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 28-GEMMASCOPE-RES-16K
    11. 7626
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    Explanations

    references to fast food brands associated with inappropriate or humorous content

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

    Preceding tokens are ordinal numbers, symbols, or letters

    np_acts-logits-general · gemini-2.0-flash

    first drive-through restaurants

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 28-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_28/width_16k/average_l0_119
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.28.hook_resid_post
    Hook Layer
    28
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    葡萄酒
    -0.49
    日本酒
    -0.45
     Hepburn
    -0.42
     tessuto
    -0.42
    InputModule
    -0.41
     wijn
    -0.40
    glLoadIdentity
    -0.40
    deltaTime
    -0.40
     specchio
    -0.40
    rangea
    -0.40
    POSITIVE LOGITS
     eatery
    0.69
     takeout
    0.66
     franchise
    0.65
     toppings
    0.65
     burgers
    0.63
     greasy
    0.63
     order
    0.62
     restaurant
    0.61
     مشين
    0.61
    Order
    0.60
    Activations Density 0.258%

    No Known Activations