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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. 2919
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    Explanations

    terms related to winning and losing in competitive contexts

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

    Winning or losing in various contexts

    np_acts-logits-general · gemini-2.0-flash

    winning or losing

    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
    ſelf
    -0.54
    __*/
    -0.50
     myſelf
    -0.49
    NUMX
    -0.47
    rinfo
    -0.45
     MRT
    -0.44
    ListTile
    -0.43
    ſelves
    -0.43
     viſ
    -0.43
     ExecuteAsync
    -0.42
    POSITIVE LOGITS
     victory
    1.05
    victory
    0.96
     victoire
    0.90
     victorious
    0.90
     vitória
    0.88
     winning
    0.88
     kemenangan
    0.88
     defeat
    0.86
     win
    0.85
     victories
    0.85
    Activations Density 0.555%

    No Known Activations