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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. 10909
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    INDEX
    Explanations

    public houses and hotels related to historical significance

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

    lodging, pubs, or hotels

    np_acts-logits-general · gemini-2.0-flash

    places to stay or gather

    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
     EconPapers
    -0.52
    PreferredItem
    -0.49
     kasarigan
    -0.47
     Waray
    -0.46
    IntoConstraints
    -0.45
    riwal
    -0.45
     visibilité
    -0.44
     nahilalakip
    -0.44
     exceptionnel
    -0.43
    SequentialGroup
    -0.43
    POSITIVE LOGITS
     hotel
    0.97
     Hotel
    0.92
    Hotel
    0.77
     hotels
    0.73
    hotel
    0.72
     Inn
    0.68
     motel
    0.68
     Hotels
    0.67
     HOTEL
    0.66
    HOTEL
    0.63
    Activations Density 0.171%

    No Known Activations