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    1. Home
    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-9B-IT
    4. Residual Stream - 131k
    5. 31-GEMMASCOPE-RES-131K
    6. 64844
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    Explanations

    references to specific teams and locations in sports contexts

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

    Chinese and UK cities

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 31-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_31/width_131k/average_l0_109
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.31.hook_resid_post
    Hook Layer
    31
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Paglinawan
    -0.53
    ंदीखरीदारी
    -0.49
    oredCriteria
    -0.47
    JAKARTA
    -0.46
    SequentialGroup
    -0.45
    évaluateur
    -0.45
    richTextPanel
    -0.44
    kuuta
    -0.43
    ->___
    -0.43
    ้อมูล
    -0.41
    POSITIVE LOGITS
     Southampton
    0.73
    Southampton
    0.72
     Hampshire
    0.68
     Guangdong
    0.62
     Bournemouth
    0.54
     Shenzhen
    0.54
     Cantonese
    0.53
     Portsmouth
    0.52
     Guangzhou
    0.49
    ttino
    0.47
    Activations Density 0.052%

    No Known Activations