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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 28-GEMMASCOPE-RES-16K
    11. 4847
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    Explanations

    keywords related to restaurant experiences and dining options

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 28-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_28/width_16k/average_l0_119
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.28.hook_resid_post
    Hook Layer
    28
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    TagMode
    -0.58
     Paglinawan
    -0.52
     resourceCulture
    -0.50
     kompres
    -0.50
     Numerade
    -0.48
    delwed
    -0.48
    ServletException
    -0.46
     farmacia
    -0.45
    guém
    -0.45
    MarshalTo
    -0.44
    POSITIVE LOGITS
     restaurant
    1.33
     diners
    1.20
     dining
    1.16
     Restaurant
    1.13
     restaurants
    1.09
    Restaurant
    1.07
    restaurant
    1.00
     restaurante
    0.97
     menu
    0.91
     RESTAURANT
    0.91
    Activations Density 0.314%

    No Known Activations