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    1. Home
    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-2B
    4. Residual Stream - 65k
    5. 20-GEMMASCOPE-RES-65K
    6. 1431
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    Explanations

    references to injuries and medical conditions in sports contexts

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

    terms related to coaching roles and administrative positions in sports, particularly football

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

    sports team staff and facilities

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 20-gemmascope-res-65k
    Configuration
    google/gemma-scope-2b-pt-res/layer_20/width_65k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    65,536
    Data Type
    float32
    Hook Name
    blocks.20.hook_resid_post
    Hook Layer
    20
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    SequentialGroup
    -0.76
    DockStyle
    -0.68
    RegistryLite
    -0.67
    setViewportView
    -0.60
    WireFormatLite
    -0.57
    
    -0.56
    Externé
    -0.54
    httphttps
    -0.53
    AnchorTagHelper
    -0.52
     Festival
    -0.51
    POSITIVE LOGITS
     staff
    0.65
     coaches
    0.61
     physio
    0.60
    room
    0.56
     mergeFrom
    0.56
     Pilates
    0.55
     room
    0.54
    staff
    0.54
     phys
    0.53
     trainers
    0.53
    Activations Density 0.104%

    No Known Activations