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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 31-GEMMASCOPE-RES-131K
    11. 46385
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    INDEX
    Explanations

    key elements related to culinary and hospitality developments

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

    hotels and resorts

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 31-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_31/width_131k/average_l0_109
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.31.hook_resid_post
    Hook Layer
    31
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     useful
    -0.45
     Useful
    -0.45
     AssemblyCulture
    -0.42
    Useful
    -0.40
     usefulness
    -0.39
    IsContent
    -0.38
    OrderInfo
    -0.37
     gynhyrchwyd
    -0.37
    ventud
    -0.36
    useful
    -0.36
    POSITIVE LOGITS
     resort
    0.75
     luxury
    0.72
     luxurious
    0.70
    resort
    0.68
     hotel
    0.68
     attractions
    0.67
     resorts
    0.67
     exclusivity
    0.66
     boutique
    0.65
    luxury
    0.65
    Activations Density 0.013%

    No Known Activations