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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 28-GEMMASCOPE-RES-16K
    11. 8647
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    INDEX
    Explanations

    references to Japanese individuals, culture, and language

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

    Japan or Japanese culture

    np_acts-logits-general · gemini-2.0-flash

    Japanese culture and places

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 28-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_28/width_16k/average_l0_119
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.28.hook_resid_post
    Hook Layer
    28
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     bedo
    -0.46
     Thar
    -0.44
    حوالہ
    -0.38
    鱒
    -0.37
     Bama
    -0.36
     Thiru
    -0.36
     Kofi
    -0.36
     khal
    -0.36
     consultato
    -0.35
     Huo
    -0.35
    POSITIVE LOGITS
     Japan
    1.21
    Japan
    1.13
     Japón
    1.13
     Jepang
    1.10
     Japanese
    1.09
     Giappone
    1.08
     japan
    1.03
     Japon
    0.98
    Japanese
    0.97
     JAPAN
    0.94
    Activations Density 0.388%

    No Known Activations