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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 458
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    Explanations

    references to fast food and specific fast food items

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot

    fast food chains (McDonald's, KFC)

    np_acts-logits-general · gemini-2.0-flash

    fast food chains McDonald's KFC

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 9-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_16k/average_l0_88
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    ngths
    -0.50
     Baruch
    -0.45
     prism
    -0.45
    mailer
    -0.44
    yarnpkg
    -0.44
    eload
    -0.44
     adresu
    -0.43
    :✨
    -0.43
     Prism
    -0.43
     Yuki
    -0.42
    POSITIVE LOGITS
     McDonalds
    0.84
     McDonald
    0.81
    McDonald
    0.77
     mcdonald
    0.65
    cdonald
    0.54
    🍔
    0.51
     KFC
    0.51
    マク
    0.50
    KFC
    0.47
    onalds
    0.47
    Activations Density 0.167%

    No Known Activations