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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. 6983
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    Explanations

    numerical values related to vehicle speed and performance metrics

    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
    انجليز
    -0.57
    :✨
    -0.55
    MLLoader
    -0.54
    yeur
    -0.52
    Rè
    -0.51
    expandindo
    -0.50
    ostante
    -0.49
    .*")]
    -0.49
     cot
    -0.49
    ReusableCell
    -0.48
    POSITIVE LOGITS
     slow
    0.90
     Slow
    0.85
    Slow
    0.82
     SLOW
    0.79
    slow
    0.79
     slowest
    0.76
     slower
    0.76
     slowed
    0.75
    mph
    0.72
    SLOW
    0.71
    Activations Density 0.216%

    No Known Activations