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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. 9-GEMMASCOPE-RES-131K
    11. 38258
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    Explanations

    specific materials and their applications related to medical or structural contexts

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

    materials: wood, bone, metal, cardboard

    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
     Velcro
    -0.61
    urlpatterns
    -0.61
     Bags
    -0.61
    Bags
    -0.59
     rag
    -0.59
     bags
    -0.59
     diapers
    -0.58
    cloths
    -0.58
    saco
    -0.57
    XmlAccessType
    -0.57
    POSITIVE LOGITS
     porcelana
    0.44
     métal
    0.40
     porcelaine
    0.39
     logam
    0.39
     minerales
    0.36
     portátiles
    0.36
     aleación
    0.35
     aço
    0.35
     nueces
    0.34
     chêne
    0.34
    Activations Density 0.134%

    No Known Activations