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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 30-GEMMASCOPE-RES-16K
    11. 12064
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    INDEX
    Explanations

    overall assessments of movies, focusing on their emotional and humorous elements

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

    Literary elements and technical references

    np_acts-logits-general · gemini-2.0-flash

    literary or narrative elements

    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
     resourceCulture
    -0.37
    sizePolicy
    -0.35
    Documents
    -0.34
     books
    -0.33
     Books
    -0.33
    getDocument
    -0.33
    latego
    -0.32
    jsxFileName
    -0.32
    films
    -0.30
     Documents
    -0.30
    POSITIVE LOGITS
     characters
    0.67
     plot
    0.63
    登場人物
    0.62
     dialogues
    0.62
     graphics
    0.62
    WaitGroup
    0.62
     cinematography
    0.61
     dialogue
    0.60
     visuals
    0.60
     scenery
    0.59
    Activations Density 0.329%

    No Known Activations