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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. 6245
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    Explanations

    metrics related to performance and efficiency in algorithms

    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
     quality
    -0.81
     QUALITY
    -0.80
    quality
    -0.76
     berkualitas
    -0.75
    Quality
    -0.73
     Quality
    -0.69
     qualidade
    -0.68
    Qualität
    -0.66
     Qualität
    -0.66
    QUALITY
    -0.66
    POSITIVE LOGITS
    NOPQRST
    0.57
    +#+#
    0.56
    street
    0.53
    الإنجليزية
    0.52
     esboço
    0.52
     OFDb
    0.51
    Street
    0.50
    writeFieldEnd
    0.50
    حوالہ
    0.50
    참고
    0.48
    Activations Density 0.980%

    No Known Activations