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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 34-GEMMASCOPE-RES-16K
    11. 8067
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    specific terms related to chemical processes and materials used in industrial and scientific contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 34-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_34/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.34.hook_resid_post
    Hook Layer
    34
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ſte
    -0.62
     deſt
    -0.59
    DockStyle
    -0.57
    互联网档案馆
    -0.54
     fhew
    -0.53
     myſelf
    -0.51
     به‌
    -0.49
    ﹣
    -0.49
     للاسماء
    -0.48
     ſtill
    -0.48
    POSITIVE LOGITS
    ambassade
    0.43
     Aérea
    0.42
     preguntó
    0.42
    第一步
    0.40
    GEBURTSDATUM
    0.40
    extré
    0.40
    ancienne
    0.39
    rawQuery
    0.39
     Италијани
    0.38
     ladrillo
    0.38
    Activations Density 3.157%

    No Known Activations