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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 14-GEMMASCOPE-RES-16K
    11. 9536
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    Explanations

    mentions of restaurants and dining-related terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 14-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_14/width_16k/average_l0_84
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.14.hook_resid_post
    Hook Layer
    14
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    remadura
    -0.75
     croy
    -0.75
     fuite
    -0.70
     quantités
    -0.66
     preuves
    -0.65
    Dowell
    -0.65
    silience
    -0.64
    toThrow
    -0.63
     mourut
    -0.63
     Picchu
    -0.63
    POSITIVE LOGITS
     restaurants
    1.26
     restaurant
    1.21
     Restaurants
    1.09
     Restaurant
    1.03
    Restaurants
    0.95
     RESTAURANT
    0.92
     restaurante
    0.92
    restaurants
    0.90
    Restaurant
    0.88
    restaurant
    0.87
    Activations Density 0.051%

    No Known Activations