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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. 8412
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    phrases emphasizing the importance of attention and data quality in projects

    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
    хьтан
    -0.64
    complexContent
    -0.49
    \{\\
    -0.47
    EndInit
    -0.46
    anthene
    -0.45
     Lud
    -0.45
    
    -0.45
     Middel
    -0.45
    fiez
    -0.44
     энциклопедия
    -0.44
    POSITIVE LOGITS
     attention
    2.39
    attention
    2.05
     Attention
    2.02
    Attention
    1.88
     ATTENTION
    1.73
     atención
    1.55
     attentions
    1.52
     aandacht
    1.49
     внимание
    1.47
     atenção
    1.46
    Activations Density 0.390%

    No Known Activations