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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 24-GEMMASCOPE-RES-16K
    11. 5272
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    INDEX
    Explanations

    positive adjectives and descriptors often used in movie reviews

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

    Movie or TV show reviews and analysis

    np_acts-logits-general · gemini-2.0-flash

    media review descriptors

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 24-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_24/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.24.hook_resid_post
    Hook Layer
    24
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    webElementXpaths
    -0.91
    CloseOperation
    -0.77
     незавершена
    -0.65
     noDo
    -0.60
     nakalista
    -0.57
    HomeAsUpEnabled
    -0.56
     للمعارف
    -0.56
    XmlAccessType
    -0.55
    contentLoaded
    -0.53
    請繼續往下閱讀
    -0.50
    POSITIVE LOGITS
     plot
    0.50
     storytelling
    0.46
     cinematography
    0.46
     graphic
    0.42
     narrative
    0.42
     storyline
    0.41
    plot
    0.41
     pacing
    0.40
     characters
    0.40
     dialogues
    0.39
    Activations Density 0.202%

    No Known Activations