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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. 88879
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    INDEX
    Explanations

    references to cleanliness and clean technologies

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

    clean bias, technologies, output

    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
    บอก
    -0.34
    Fernseh
    -0.33
     interesan
    -0.32
    itados
    -0.32
     Szk
    -0.32
     getragen
    -0.31
    Gruss
    -0.31
    хьтан
    -0.31
    sapato
    -0.31
     Psic
    -0.31
    POSITIVE LOGITS
     clean
    0.87
    clean
    0.85
    Clean
    0.81
     CLEAN
    0.81
     Clean
    0.80
     unclean
    0.75
    CLEAN
    0.73
     cleanest
    0.68
    EDEFAULT
    0.68
    setVerticalGroup
    0.63
    Activations Density 0.006%

    No Known Activations