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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 20-GEMMASCOPE-RES-131K
    11. 55171
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    Explanations

    references to hotels and hospitality industry-related content

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

    hotel and hospitality

    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
     Paglinawan
    -0.50
     ensaio
    -0.46
     navideñas
    -0.44
     craindre
    -0.44
     navideños
    -0.43
     fotográfico
    -0.43
     contextLoads
    -0.42
     afraid
    -0.42
     prisonniers
    -0.42
    diyesi
    -0.42
    POSITIVE LOGITS
     hotel
    0.73
     hotels
    0.69
     hote
    0.62
     Hotel
    0.60
    hotel
    0.57
     Hotels
    0.56
    Hotel
    0.56
     HOTEL
    0.53
     Hilton
    0.53
    HOTEL
    0.52
    Activations Density 0.005%

    No Known Activations