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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. 20-GEMMASCOPE-RES-131K
    11. 21015
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    Explanations

    high-end hotel names and associated luxury accommodations

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

    hotel names

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 20-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_20/width_131k/average_l0_81
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.20.hook_resid_post
    Hook Layer
    20
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     EconPapers
    -0.52
     ensayos
    -0.40
     herramienta
    -0.36
     cuestiones
    -0.34
    irmer
    -0.34
     khí
    -0.34
     asust
    -0.34
    ísimo
    -0.33
     paio
    -0.33
    __':
    -0.33
    POSITIVE LOGITS
     hotel
    1.10
     Hotel
    1.04
    Hotel
    0.94
     hotels
    0.90
    hotel
    0.88
     HOTEL
    0.84
     Hotels
    0.83
    HOTEL
    0.82
     hotell
    0.78
    ホテル
    0.77
    Activations Density 0.012%

    No Known Activations