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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. 1363
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    INDEX
    Explanations

    references to "winners" and "winning" in various contexts

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

    "winner" or "winning"

    np_acts-logits-general · gemini-2.0-flash

    winner, winning

    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
     wikipagina
    -0.49
    равда
    -0.40
    ▂
    -0.35
     corona
    -0.35
     ./
    -0.35
    кости
    -0.34
    梨
    -0.34
     ceb
    -0.33
     Czę
    -0.33
    Độ
    -0.33
    POSITIVE LOGITS
     winner
    1.66
     winners
    1.60
    Winner
    1.54
     Winner
    1.52
    winner
    1.52
    winners
    1.51
     Winners
    1.44
    Winners
    1.41
     WINNER
    1.37
    WINNER
    1.32
    Activations Density 0.231%

    No Known Activations