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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 24-GEMMASCOPE-RES-16K
    11. 9787
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    Explanations

    references to injuries or health-related issues, particularly in a sports context

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

    Football rushing statistics and carries

    np_acts-logits-general · gemini-2.0-flash

    running backs and carries

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 24-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_24/width_16k/average_l0_73
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.24.hook_resid_post
    Hook Layer
    24
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    PerformLayout
    -0.67
    QtWidgets
    -0.61
    ⓧ
    -0.59
    webElementXpaths
    -0.58
    fortawesome
    -0.55
    ásban
    -0.54
    CURLOPT
    -0.53
    MessageOf
    -0.53
    volley
    -0.52
    applied
    -0.51
    POSITIVE LOGITS
     rushing
    0.95
     running
    0.83
     corriendo
    0.78
     rushed
    0.77
     rush
    0.77
     runners
    0.76
     carries
    0.76
     rushes
    0.73
     Running
    0.73
    Runners
    0.72
    Activations Density 0.175%

    No Known Activations