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    1. Home
    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-9B
    4. Residual Stream - 16k
    5. 30-GEMMASCOPE-RES-16K
    6. 12608
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    INDEX
    Explanations

    references to film production details and key personnel involved in filmmaking

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

    Mentions about movies and film

    np_acts-logits-general · gemini-2.0-flash

    movie titles

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 30-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_30/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.30.hook_resid_post
    Hook Layer
    30
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    pantalón
    -0.53
    发表于
    -0.52
     telewiz
    -0.49
    Hauptartikel
    -0.49
     circulación
    -0.49
     noastre
    -0.49
     restauración
    -0.48
     acrí
    -0.48
    ylvania
    -0.47
     regolare
    -0.47
    POSITIVE LOGITS
     film
    0.61
     movie
    0.58
     thriller
    0.54
     screenplay
    0.49
     Shia
    0.49
    片
    0.47
     filme
    0.47
     CGI
    0.47
     Film
    0.46
     mov
    0.46
    Activations Density 0.222%

    No Known Activations