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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. 9461
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    Explanations

    references to notable individuals and their achievements, particularly in sports

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

    rugby or rugby players

    np_acts-logits-general · gemini-2.0-flash

    rugby union players

    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
     Vikipedi
    -0.52
     oil
    -0.45
     motors
    -0.45
    expandindo
    -0.44
     Verk
    -0.42
    aticano
    -0.41
     motor
    -0.41
     pouce
    -0.41
     cư
    -0.41
    eny
    -0.40
    POSITIVE LOGITS
     rugby
    1.09
    rugby
    0.99
     Rugby
    0.98
    Rugby
    0.93
    🏉
    0.90
     scrum
    0.86
     Scrum
    0.64
     Premiership
    0.61
     propOrder
    0.54
     jugadores
    0.52
    Activations Density 0.038%

    No Known Activations