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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 31-GEMMASCOPE-RES-131K
    11. 2919
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    INDEX
    Explanations

    references to the concept of cleanliness or cleaning processes

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

    cleanliness

    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
     otomatig
    -0.46
    CardHeader
    -0.43
    waitUntil
    -0.41
        
    -0.40
     memen
    -0.40
     PeEnEo
    -0.40
    rotnie
    -0.40
     Umfang
    -0.40
    Tembelea
    -0.39
    ylla
    -0.39
    POSITIVE LOGITS
     Clean
    0.77
    Clean
    0.75
     CLEAN
    0.69
     unclean
    0.68
    CLEAN
    0.66
    Cleaner
    0.65
     cleans
    0.64
    clean
    0.64
    cleaner
    0.63
     cleanliness
    0.62
    Activations Density 0.027%

    No Known Activations