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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 24-GEMMASCOPE-RES-16K
    11. 6301
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    Explanations

    references to injuries, particularly in sports contexts

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

    sports injuries

    np_acts-logits-general · gemini-2.0-flash

    physical injury

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 24-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_24/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 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
    httphttps
    -0.66
    
    -0.47
     éduc
    -0.41
    jména
    -0.40
     børn
    -0.39
    webElementXpaths
    -0.39
     händer
    -0.38
     defaultstate
    -0.38
     oprot
    -0.38
    SpringBootTest
    -0.36
    POSITIVE LOGITS
     injury
    0.88
     Injury
    0.84
     injuries
    0.82
    Injury
    0.79
     injured
    0.77
     Injured
    0.77
    injury
    0.76
     Injuries
    0.72
    Injured
    0.69
    Injuries
    0.64
    Activations Density 0.133%

    No Known Activations