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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. 53007
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    INDEX
    Explanations

    references to winning and success in various contexts

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

    win, winning, won, wins

    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
    mailto
    -0.45
    tagHelperRunner
    -0.41
    يكب
    -0.40
     المعيارى
    -0.39
    ViewImports
    -0.37
    それも
    -0.35
     Eren
    -0.35
    Pautan
    -0.35
     PEST
    -0.34
     PDO
    -0.34
    POSITIVE LOGITS
     win
    0.67
     winning
    0.64
     WIN
    0.63
     wins
    0.63
     winnings
    0.63
     kemenangan
    0.61
    Winning
    0.60
    Diwedd
    0.60
     vincere
    0.59
     gagné
    0.59
    Activations Density 0.027%

    No Known Activations