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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. 11381
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    INDEX
    Explanations

    references to notable individuals or events in film and television

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

    Precedes names, roles, or descriptions of people

    np_acts-logits-general · gemini-2.0-flash

    acting, roles, playing characters

    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
    zzleHttp
    -0.50
     existencia
    -0.44
    RegressionTest
    -0.43
    atguigu
    -0.42
    icksburg
    -0.42
    RefNanny
    -0.42
    фраструк
    -0.41
    employees
    -0.41
     anges
    -0.41
    andaş
    -0.40
    POSITIVE LOGITS
     portraying
    1.02
     role
    0.97
     playing
    0.94
     roles
    0.94
     portrayal
    0.86
     cast
    0.82
     نقش
    0.81
     acting
    0.81
     casting
    0.81
     Playing
    0.80
    Activations Density 0.197%

    No Known Activations