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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. 9-GEMMASCOPE-RES-131K
    11. 19931
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    Explanations

    references to fast food items and related consumption behaviors

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

    fast food restaurants

    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-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_131k/average_l0_121
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    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
    Not in Any Lists

    No Comments

    Negative Logits
     Roskov
    -0.43
    IUrlHelper
    -0.43
     ویکی‌پدی
    -0.42
    ChildScrollView
    -0.42
     autorytatywna
    -0.42
    TintMode
    -0.41
    cella
    -0.40
     يتيمه
    -0.40
    addContainerGap
    -0.39
     Democrá
    -0.39
    POSITIVE LOGITS
    complexContent
    0.47
     McDonalds
    0.45
    astify
    0.44
     McDonald
    0.40
    McDonald
    0.39
    prits
    0.37
    Résultats
    0.36
    Fordítás
    0.36
    twimg
    0.36
    哋
    0.36
    Activations Density 0.068%

    No Known Activations