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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 36-GEMMASCOPE-RES-16K
    11. 6311
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    Explanations

    mentions of Japanese cultural elements or references

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 36-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_36/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.36.hook_resid_post
    Hook Layer
    36
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    numerusform
    -0.36
    簗
    -0.34
    حوالہ
    -0.34
     Khartoum
    -0.33
    zyg
    -0.33
     Atiku
    -0.33
    ZIE
    -0.33
     Belize
    -0.33
     culoare
    -0.32
     cumin
    -0.32
    POSITIVE LOGITS
     Japanese
    1.78
     Japan
    1.76
    Japan
    1.57
     Japón
    1.55
    Japanese
    1.53
     Jepang
    1.52
     japan
    1.51
     Japon
    1.49
     JAPAN
    1.49
     japanese
    1.48
    Activations Density 0.856%

    No Known Activations