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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. 61767
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    Explanations

    locations and references to dining establishments

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

    eating and drinking establishments

    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
    artiges
    -0.33
     $
    -0.32
    ,
    -0.31
    he
    -0.31
     Phase
    -0.31
     import
    -0.30
    ánicas
    -0.30
    sec
    -0.30
    träger
    -0.29
     Figure
    -0.29
    POSITIVE LOGITS
     restaurant
    1.12
     shops
    1.05
     restaurants
    1.04
     restaurante
    0.99
    restaurant
    0.98
     shop
    0.97
     Shops
    0.97
     eatery
    0.96
    Restaurant
    0.96
     tavern
    0.96
    Activations Density 0.081%

    No Known Activations