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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 35-GEMMASCOPE-RES-16K
    11. 10974
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    Explanations

    references to architectural structures or urban planning

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 35-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_35/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.35.hook_resid_post
    Hook Layer
    35
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    tahui
    -0.45
    ถม
    -0.34
     OGSÅ
    -0.34
     deseas
    -0.32
    akaian
    -0.32
    úblico
    -0.32
     recomendado
    -0.32
     Näch
    -0.31
     alami
    -0.31
     desesper
    -0.30
    POSITIVE LOGITS
     للاسماء
    0.71
    Personensuche
    0.65
     الحره
    0.64
    الحياه
    0.60
     незавершена
    0.57
    oredCriteria
    0.55
     Party
    0.55
     NSCoder
    0.52
    PyExc
    0.52
     NDR
    0.50
    Activations Density 0.110%

    No Known Activations