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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 20-GEMMASCOPE-RES-131K
    11. 4452
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    Explanations

    references to cinema chains and audience demographics in relation to movie tickets

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

    movie ticket sales

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 20-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_20/width_131k/average_l0_81
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.20.hook_resid_post
    Hook Layer
    20
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     vectorielles
    -0.51
    BorderFactory
    -0.49
     Administrativna
    -0.47
    ASKA
    -0.46
     setuptools
    -0.46
    ruvate
    -0.46
    atterns
    -0.45
    ègre
    -0.45
     Pessoa
    -0.45
     Rousseau
    -0.43
    POSITIVE LOGITS
     cinemas
    0.79
     theatres
    0.73
     theaters
    0.68
     Cinemas
    0.67
     cinema
    0.65
     cinéma
    0.60
     theater
    0.59
     theatre
    0.59
     Cinema
    0.59
     movie
    0.57
    Activations Density 0.011%

    No Known Activations