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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 27-GEMMASCOPE-RES-16K
    11. 7986
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    Explanations

    specific names of restaurants and associated cuisines

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 27-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_27/width_16k/average_l0_118
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.27.hook_resid_post
    Hook Layer
    27
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     vectorielles
    -0.70
     vectorielle
    -0.55
     industriale
    -0.50
     industriels
    -0.48
     ProtoMessage
    -0.46
     vettor
    -0.44
     industriales
    -0.44
     للاسماء
    -0.43
     extérieures
    -0.43
     commerciales
    -0.43
    POSITIVE LOGITS
     Hotel
    0.70
     hotel
    0.64
     Cafe
    0.62
    Hotel
    0.60
     Café
    0.60
     café
    0.57
     cafe
    0.56
     eatery
    0.55
     restaurant
    0.55
     Restaurant
    0.53
    Activations Density 0.154%

    No Known Activations