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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 9-GEMMASCOPE-RES-131K
    11. 128462
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    Explanations

    keywords related to restaurants and dining experiences

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

    restaurant reviews in cities

    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
    FunctionFlags
    -0.37
    pustakaan
    -0.31
    Binding
    -0.31
    databind
    -0.30
     Geschichts
    -0.29
     dreapta
    -0.28
    binding
    -0.28
    Historique
    -0.27
    insert
    -0.27
    imgur
    -0.27
    POSITIVE LOGITS
    ſelf
    0.67
     restaurant
    0.65
    المناصب
    0.64
    restaurants
    0.64
    restaurant
    0.64
     pleaſure
    0.61
    ſelves
    0.61
    Restaurant
    0.60
     restaurants
    0.60
     Restaurant
    0.60
    Activations Density 0.255%

    No Known Activations