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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. 120015
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    Explanations

    terms related to office furniture and organization

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

    furniture and wood products

    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
    TagMode
    -0.53
     незавершена
    -0.50
    rungsseite
    -0.49
     resourceCulture
    -0.48
    ArrowToggle
    -0.47
     ویکی‌پدی
    -0.47
    ValueStyle
    -0.46
     ModelExpression
    -0.45
     JpaRepository
    -0.44
    SourceChecksum
    -0.44
    POSITIVE LOGITS
     furniture
    0.56
     Furniture
    0.53
     furn
    0.49
    Furniture
    0.47
    chränk
    0.45
     sideboard
    0.45
     bookcase
    0.45
    furniture
    0.45
     table
    0.44
     Möbel
    0.44
    Activations Density 0.087%

    No Known Activations