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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. 11571
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    Explanations

    titles and elements related to popular superhero movies, specifically focusing on "Spider-Man."

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

    Spiderman and spiders

    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
    wayat
    -0.35
    romyalgia
    -0.32
    Purge
    -0.32
    ctivité
    -0.31
    purge
    -0.31
     Pula
    -0.30
    Rujukan
    -0.30
     Infórmanos
    -0.30
    敛
    -0.30
    ピール
    -0.30
    POSITIVE LOGITS
     Spider
    0.96
     spider
    0.91
    Spider
    0.90
     Spiderman
    0.84
    spider
    0.82
     spiders
    0.76
     Spiders
    0.74
     spiderman
    0.73
    蜘蛛
    0.64
     aranha
    0.63
    Activations Density 0.021%

    No Known Activations