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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 36-GEMMASCOPE-RES-16K
    11. 6441
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    Explanations

    proper nouns, specifically names of people

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 36-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_36/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.36.hook_resid_post
    Hook Layer
    36
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ########.
    -0.69
     ویکی‌پدی
    -0.59
    tagHelperRunner
    -0.55
     للاسماء
    -0.54
     Comprometido
    -0.53
     Chwiliwch
    -0.49
    windowFixed
    -0.49
     المعيارى
    -0.49
     дописавши
    -0.49
    StructEnd
    -0.48
    POSITIVE LOGITS
     ger
    0.82
     Ger
    0.81
    Ger
    0.67
     GER
    0.60
    ger
    0.57
     Gerv
    0.54
    GER
    0.53
    Geral
    0.50
    WithMany
    0.47
     Germain
    0.47
    Activations Density 0.189%

    No Known Activations