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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. 20933
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    Explanations

    references to cinemas and movie theaters

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

    movie theater cinema screenings

    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
    лимпий
    -0.38
    zzleHttp
    -0.37
     Infórmanos
    -0.33
     vuoden
    -0.33
    rmtree
    -0.33
    Personendaten
    -0.32
    licó
    -0.31
    NoSuchAlgorithm
    -0.31
     agences
    -0.30
     Conserv
    -0.30
    POSITIVE LOGITS
     screenings
    1.05
     screening
    0.93
     cinema
    0.93
     cinemas
    0.90
     Cinema
    0.90
     popcorn
    0.87
    cinema
    0.86
    screening
    0.82
     movie
    0.81
    popcorn
    0.81
    Activations Density 0.028%

    No Known Activations