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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 30-GEMMASCOPE-RES-16K
    11. 12346
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    INDEX
    Explanations

    elements and factors related to cleanliness and quality in a service context

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

    cleanliness

    np_acts-logits-general · gemini-2.0-flash

    cleanliness of

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 30-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_30/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.30.hook_resid_post
    Hook Layer
    30
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    
    -0.57
    Seeder
    -0.47
     BitmapFactory
    -0.43
    setCancelable
    -0.43
    PositiveButton
    -0.42
    postmedia
    -0.41
    createTextNode
    -0.40
    RegistryLite
    -0.39
     defStyleAttr
    -0.39
     contextLoads
    -0.39
    POSITIVE LOGITS
     clean
    2.42
     cleanliness
    2.30
    clean
    2.13
     Clean
    2.09
    Clean
    2.06
     CLEAN
    2.02
     cleanest
    1.94
     cleaner
    1.87
     cleaned
    1.86
     cleaning
    1.83
    Activations Density 0.190%

    No Known Activations