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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 9-GEMMASCOPE-RES-131K
    11. 37870
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    INDEX
    Explanations

    specific names of sports teams and players, particularly in relation to football and soccer

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

    sports teams and racing

    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-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_131k/average_l0_121
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    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
    CrossRef
    -0.56
    sidemargin
    -0.50
     חיצוניים
    -0.47
    ächlich
    -0.42
    olerance
    -0.42
     dép
    -0.41
     CanadaChoose
    -0.41
    Panamoan
    -0.41
     defaultdict
    -0.41
     Hertz
    -0.41
    POSITIVE LOGITS
    Notae
    0.37
    NamedQueries
    0.36
    Bibliograf
    0.35
    licaciones
    0.34
    Jeografia
    0.33
     respiración
    0.33
     oprot
    0.32
    ContextCompat
    0.31
    queryInterface
    0.31
    جستارهای
    0.31
    Activations Density 0.030%

    No Known Activations