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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 31-GEMMASCOPE-RES-131K
    11. 19296
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    INDEX
    Explanations

    elements that describe cinematic quality and performance in movies

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

    movie production and review elements

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 31-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_31/width_131k/average_l0_109
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.31.hook_resid_post
    Hook Layer
    31
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    AndEndTag
    -0.47
     TextInputType
    -0.39
     presencial
    -0.37
     erila
    -0.36
     pitié
    -0.35
    Etimología
    -0.33
     HomeComponent
    -0.33
    IonicModule
    -0.33
     objav
    -0.33
    ContentAsync
    -0.33
    POSITIVE LOGITS
     performances
    0.69
     photography
    0.69
     performance
    0.65
     editing
    0.62
     design
    0.60
     production
    0.59
     cinematography
    0.59
     execution
    0.58
     diseño
    0.56
     fotografía
    0.56
    Activations Density 0.035%

    No Known Activations