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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 24-GEMMASCOPE-RES-16K
    11. 163
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    Explanations

    references and URLs within the text

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

    URLs or bracketed information

    np_acts-logits-general · gemini-2.0-flash

    web links and citations

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 24-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_24/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.24.hook_resid_post
    Hook Layer
    24
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     tiguan
    -0.39
    #
    -0.38
     Royals
    -0.36
    riders
    -0.35
    ducers
    -0.35
    아
    -0.35
    bolts
    -0.34
    brews
    -0.34
    iban
    -0.34
     productId
    -0.33
    POSITIVE LOGITS
    原始内容存档于
    0.78
     مشين
    0.76
     оригіналу
    0.75
    Билгалдахарш
    0.68
    Izvori
    0.66
     consultato
    0.61
     arşivlendi
    0.60
    accessed
    0.60
    jsxFileName
    0.56
    consulté
    0.56
    Activations Density 0.249%

    No Known Activations