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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. MLP Out - 16k
    9. 19-GEMMASCOPE-MLP-16K
    11. 9680
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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 19-gemmascope-mlp-16k
    Configuration
    google/gemma-scope-2b-pt-mlp/layer_19/width_16k/average_l0_109
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.19.hook_mlp_out
    Hook Layer
    19
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    脚注の使い方
    -1.10
    RenderAtEndOf
    -0.88
    expandindo
    -0.83
     समीक्षाओं
    -0.78
    PerformLayout
    -0.74
     للمعارف
    -0.72
    ContentAsync
    -0.72
     EconPapers
    -0.69
     חיצוניים
    -0.69
     سكانية
    -0.67
    POSITIVE LOGITS
     múl
    0.54
     Mortal
    0.50
     ingestion
    0.49
     Edible
    0.48
     bianche
    0.47
     edible
    0.47
     ing
    0.47
    тельность
    0.45
     Ate
    0.44
     picking
    0.43
    Activations Density 0.434%

    No Known Activations