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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 3-GEMMASCOPE-RES-16K
    11. 2888
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    Explanations

    terms related to winning or success in competitions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 3-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_3/width_16k/average_l0_59
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.3.hook_resid_post
    Hook Layer
    3
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     مرئيه
    -0.70
    ]_{\
    -0.69
    makta
    -0.68
    `;
    -0.67
    ]$}
    -0.66
     complémentaires
    -0.61
     bpy
    -0.61
    GLFW
    -0.61
     setObject
    -0.61
    PyTuple
    -0.60
    POSITIVE LOGITS
     win
    2.45
     winning
    2.34
     wins
    2.29
     Winning
    2.15
    Winning
    2.02
    win
    2.01
     winners
    1.96
    winning
    1.89
     WIN
    1.89
     winnings
    1.89
    Activations Density 0.054%

    No Known Activations