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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 964
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    Japanese names and terms, particularly in relation to characters and titles from anime or manga

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_23/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ویکی‌پدیای
    -0.47
     "'");
    -0.45
     AssemblyCompany
    -0.45
     Throat
    -0.43
     frankfurt
    -0.42
    исленность
    -0.41
    MENAFN
    -0.41
     Refriger
    -0.41
    存于互联网档案馆
    -0.40
    titleMargin
    -0.39
    POSITIVE LOGITS
     يتيمه
    0.51
     gyhoeddwyd
    0.47
    tanleria
    0.43
     ivelany
    0.41
    oriques
    0.41
     circulación
    0.41
    rungsseite
    0.40
     yoksa
    0.40
     دیکھیے
    0.40
     rhestr
    0.40
    Activations Density 0.183%

    No Known Activations