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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 16-GEMMASCOPE-RES-16K
    11. 11628
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    INDEX
    Explanations

    keywords related to entertainment and performance, particularly in the context of film and television

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

    movies, films, or TV

    np_acts-logits-general · gemini-2.0-flash

    movies and shows

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 16-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_16/width_16k/average_l0_78
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.16.hook_resid_post
    Hook Layer
    16
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    SharedCtor
    -0.81
    setVerticalGroup
    -0.79
    Datuak
    -0.77
    
    -0.71
     للاسماء
    -0.71
    igslist
    -0.71
    \{\\
    -0.70
     transférez
    -0.70
    numerusform
    -0.67
    AddHtmlAttribute
    -0.67
    POSITIVE LOGITS
     movie
    1.28
     movies
    1.20
     film
    1.10
     films
    1.02
    movie
    0.97
    film
    0.87
     Movie
    0.83
    films
    0.81
    movies
    0.81
    Movie
    0.81
    Activations Density 0.303%

    No Known Activations