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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. 6102
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    Explanations

    attributes and parameters related to image formats and quality

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    NOPQRST
    -0.53
    raisemb
    -0.53
    เอก
    -0.50
     doc
    -0.48
     trapping
    -0.48
     conven
    -0.48
    Docs
    -0.47
     Docs
    -0.47
    inglés
    -0.47
     BeautifulSoup
    -0.46
    POSITIVE LOGITS
    quality
    0.77
     quality
    0.75
     QUALITY
    0.74
     berkualitas
    0.73
    Quality
    0.71
    Rüyada
    0.65
    QUALITY
    0.64
     Quality
    0.63
     Qualität
    0.62
     qualidade
    0.61
    Activations Density 0.914%

    No Known Activations