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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 8531
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    Explanations

    references to fine dining and gourmet cuisine experiences

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

    Fine dining or courses in a meal

    np_acts-logits-general · gemini-2.0-flash

    dining and courses

    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-16k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_16k/average_l0_88
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    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
    niająca
    -0.56
    Général
    -0.53
    Demografie
    -0.49
    pingente
    -0.49
     disambiguazione
    -0.49
    troppo
    -0.46
     ujednoznacz
    -0.46
    SourceChecksum
    -0.46
     AssemblyCulture
    -0.46
     HasFactory
    -0.46
    POSITIVE LOGITS
     chefs
    0.54
     gastronom
    0.53
     chef
    0.53
     restaurants
    0.52
     Michelin
    0.51
     gast
    0.49
     Chef
    0.49
     cuisine
    0.48
     cuis
    0.47
     gastron
    0.47
    Activations Density 0.224%

    No Known Activations