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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 16k
    9. 20-GEMMASCOPE-RES-16K
    11. 4699
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    INDEX
    Explanations

    references to significant achievements in sports contexts

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

    championships, awards, and victories

    np_acts-logits-general · gemini-2.0-flash

    sports victories and titles

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 20-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-it-res/layer_20/width_16k/average_l0_91
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.20.hook_resid_post
    Hook Layer
    20
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    elemField
    -0.48
    uiente
    -0.43
     Wiktionnaire
    -0.42
    TagMode
    -0.40
    Superview
    -0.40
    }{*}{
    -0.40
    sibirsk
    -0.38
    ificity
    -0.38
    soever
    -0.37
     minuta
    -0.37
    POSITIVE LOGITS
     winning
    0.73
     victory
    0.72
     vittoria
    0.65
     victorious
    0.61
     victories
    0.61
    🏆
    0.59
     triumph
    0.58
     vinto
    0.57
     winner
    0.55
     kemenangan
    0.55
    Activations Density 0.173%

    No Known Activations