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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 10-GEMMASCOPE-RES-16K
    11. 6262
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    code relevant to normalization processes in programming

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 10-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_10/width_16k/average_l0_113
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.10.hook_resid_post
    Hook Layer
    10
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     للاسماء
    -0.66
    MigrationBuilder
    -0.61
     cherchés
    -0.61
    
    -0.60
    ParallelGroup
    -0.57
    SequentialGroup
    -0.56
     CreateTagHelper
    -0.56
    Personensuche
    -0.55
     Савезне
    -0.54
    脚注の使い方
    -0.53
    POSITIVE LOGITS
     normalized
    0.72
    Normalize
    0.67
    normalize
    0.67
     normalize
    0.63
    normalized
    0.63
     Normalize
    0.60
    Normalized
    0.60
    cleaned
    0.59
     Normalized
    0.59
    sanitize
    0.57
    Activations Density 0.748%

    No Known Activations