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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 7504
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    INDEX
    Explanations

    references to production elements and personnel in media contexts

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

    Film or TV production roles

    np_acts-logits-general · gemini-2.0-flash

    film script producer director

    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
    IndentedString
    -0.52
    parsedMessage
    -0.50
     päivä
    -0.48
    SharedCtor
    -0.48
    ImageContext
    -0.47
    Ƚ
    -0.47
    AnchorStyles
    -0.47
    Tikang
    -0.46
    idão
    -0.45
    RegressionTest
    -0.44
    POSITIVE LOGITS
    Filmographie
    0.64
    Filmografia
    0.64
     Studios
    0.59
     cinemat
    0.58
     film
    0.57
     screenplay
    0.55
     Cinemat
    0.55
     films
    0.55
     movie
    0.52
     Netflix
    0.52
    Activations Density 1.420%

    No Known Activations