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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 9-GEMMASCOPE-RES-131K
    11. 61290
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    INDEX
    Explanations

    references to Japanese people, culture, and related topics

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

    Japanese words and contexts

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 9-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_131k/average_l0_121
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     McCa
    -0.35
    מך
    -0.35
     CreateTagHelper
    -0.33
     anlaş
    -0.33
     citoy
    -0.32
    rc
    -0.31
     Brink
    -0.30
     Cas
    -0.30
     mourut
    -0.30
    咕
    -0.30
    POSITIVE LOGITS
     Japan
    1.39
     Japon
    1.35
     japan
    1.34
    Japan
    1.31
     Japanese
    1.30
     Jap
    1.22
    Japanese
    1.22
     japanese
    1.22
     JAPAN
    1.20
     Jepang
    1.20
    Activations Density 0.021%

    No Known Activations