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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. MLP Out - 131k
    9. 6-GEMMASCOPE-MLP-131K
    11. 109017
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    references to document structure elements in HTML

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    google/gemma-scope-9b-pt-mlp/layer_6/width_131k/average_l0_72
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.6.hook_mlp_out
    Hook Layer
    6
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    帖最后由
    -0.70
    存于互联网档案馆
    -0.64
     snippetHide
    -0.63
     للاسماء
    -0.60
    InputBorder
    -0.59
    PyExc
    -0.59
     незавершена
    -0.58
     transfieras
    -0.57
    typeorm
    -0.56
    queryInterface
    -0.56
    POSITIVE LOGITS
     sanitaires
    0.33
    
    0.32
     hår
    0.32
     chuyện
    0.31
     grunn
    0.31
    TypedDataSet
    0.31
     rå
    0.31
    btnNew
    0.31
    Carga
    0.30
     daripada
    0.30
    Activations Density 0.001%

    No Known Activations