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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 20-GEMMASCOPE-RES-131K
    11. 99828
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    Explanations

    references to wood and related materials in various contexts

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

    wood and wooden things

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 20-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_20/width_131k/average_l0_81
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    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
     niebla
    -0.35
     cuarzo
    -0.34
     disfraz
    -0.34
     doña
    -0.33
     pendiente
    -0.33
     asistencia
    -0.33
     density
    -0.33
     désolés
    -0.32
    biendo
    -0.32
     exploración
    -0.32
    POSITIVE LOGITS
     wood
    0.91
     timber
    0.88
     woodworking
    0.85
    木材
    0.82
    timber
    0.82
     timbers
    0.82
     Timber
    0.81
     legno
    0.79
     Wooden
    0.79
     Lumber
    0.79
    Activations Density 0.034%

    No Known Activations