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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. 60759
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    Explanations

    references to wheels in various contexts

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

    vehicle wheels

    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
     Salisbury
    -0.41
     Ninth
    -0.39
     Sanford
    -0.38
    ftagPool
    -0.37
     Calif
    -0.37
     DAP
    -0.37
    atist
    -0.36
    懑
    -0.36
     Southeast
    -0.35
     Bangor
    -0.35
    POSITIVE LOGITS
     Wheels
    2.16
     wheels
    2.13
    Wheels
    1.98
     Wheel
    1.97
    wheels
    1.95
     wheel
    1.91
    Wheel
    1.89
     WHEEL
    1.76
    wheel
    1.75
    WHEEL
    1.56
    Activations Density 0.006%

    No Known Activations