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    1. Home
    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-9B-IT
    4. Residual Stream - 131k
    5. 9-GEMMASCOPE-RES-131K
    6. 61445
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    INDEX
    Explanations

    terms related to bookstores and the book-selling industry

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

    bookstores, bookcases, booksellers, Barnes & Noble, bookish memes

    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
    Timmy
    -0.53
     Putih
    -0.53
    Trich
    -0.52
    paux
    -0.52
     Timmy
    -0.51
    simd
    -0.50
     Serbie
    -0.50
     Guilherme
    -0.50
    Clip
    -0.50
     simp
    -0.50
    POSITIVE LOGITS
     bookstore
    1.85
     Bookstore
    1.70
     bookstores
    1.58
    bookstore
    1.55
     bookseller
    1.11
     bookcase
    1.00
     bookshelf
    0.90
    書店
    0.80
     Books
    0.76
    books
    0.75
    Activations Density 0.002%

    No Known Activations