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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 8285
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    INDEX
    Explanations

    references to sports teams and their players

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

    Football/Soccer players, clubs, leagues, or teams

    np_acts-logits-general · gemini-2.0-flash

    football or soccer clubs/players

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 9-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_16k/average_l0_88
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Kalifor
    -0.41
    ContainerState
    -0.38
     Dominicana
    -0.37
     París
    -0.37
     Besch
    -0.36
     venezolano
    -0.36
     konkurs
    -0.36
     Californie
    -0.34
     Kecil
    -0.33
     Sasaki
    -0.33
    POSITIVE LOGITS
     soccer
    1.07
    futbolista
    0.98
    balleur
    0.96
    soccer
    0.92
     football
    0.92
     Soccer
    0.91
    CCER
    0.91
    Soccer
    0.89
    ⚽
    0.85
     FIFA
    0.83
    Activations Density 0.291%

    No Known Activations