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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. 301
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    references to specific weapon types or military technology

    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
    บ้าง
    -0.36
    část
    -0.33
    gerichts
    -0.33
     kohta
    -0.32
     ange
    -0.32
     preocupado
    -0.32
     crystallization
    -0.31
    قرار
    -0.31
     Hauptstadt
    -0.30
    ECONDS
    -0.30
    POSITIVE LOGITS
    TagMode
    0.65
    Chham
    0.65
     pinulongan
    0.61
     فريبيس
    0.61
    تقاوى
    0.60
    出版年
    0.60
    rrggbb
    0.60
    tagHelperRunner
    0.60
    ьаж
    0.59
    WithIOException
    0.55
    Activations Density 0.198%

    No Known Activations