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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 38-GEMMASCOPE-RES-16K
    11. 9226
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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 38-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_38/width_16k/average_l0_128
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.38.hook_resid_post
    Hook Layer
    38
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    脚注の使い方
    -0.42
     hot
    -0.41
     Hot
    -0.40
    Hot
    -0.38
    hot
    -0.38
     bağlantılar
    -0.37
     ComVisible
    -0.37
     Commissioner
    -0.37
     panas
    -0.36
    热
    -0.36
    POSITIVE LOGITS
     template
    3.63
     Template
    3.23
     templates
    3.20
    template
    3.11
    Template
    3.05
     Templates
    2.89
    模板
    2.72
    TEMPLATE
    2.58
    templates
    2.55
    Templates
    2.55
    Activations Density 0.749%

    No Known Activations