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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 1200
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    np_acts-logits-general · gemini-2.0-flash

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    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-16k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_16k/average_l0_88
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    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
    省市镇
    -0.42
    ècie
    -0.42
     Futter
    -0.39
    Демографія
    -0.38
    .*")]
    -0.37
     ubezpiec
    -0.36
    cetines
    -0.35
    queles
    -0.33
    CellValue
    -0.33
     assistência
    -0.33
    POSITIVE LOGITS
    br
    2.09
     br
    1.67
    Br
    1.59
     Br
    1.59
    BR
    1.34
     BR
    1.34
     Brind
    0.92
    brk
    0.91
    mbr
    0.88
    бр
    0.85
    Activations Density 0.210%

    No Known Activations