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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 65k
    9. 13-GEMMASCOPE-RES-65K
    11. 16240
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    Explanations

    elements related to dining experiences and restaurant environments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 13-gemmascope-res-65k
    Configuration
    google/gemma-scope-2b-pt-res/layer_13/width_65k/average_l0_75
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    65,536
    Data Type
    float32
    Hook Name
    blocks.13.hook_resid_post
    Hook Layer
    13
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    حياته
    -0.60
    }))
    -0.56
     Picchu
    -0.52
     виправивши
    -0.51
     SqlParameter
    -0.49
     dừa
    -0.49
    palen
    -0.49
    renti
    -0.48
     TType
    -0.48
     '\''
    -0.48
    POSITIVE LOGITS
     dining
    0.77
     restaurant
    0.70
     hospitality
    0.67
     clientèle
    0.65
     seating
    0.64
    ῖν
    0.63
     restaurants
    0.63
     diners
    0.62
    rawDesc
    0.60
     calldata
    0.60
    Activations Density 0.008%

    No Known Activations