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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 37-GEMMASCOPE-RES-16K
    11. 570
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    keywords related to professional qualifications and experience

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 37-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_37/width_16k/average_l0_124
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.37.hook_resid_post
    Hook Layer
    37
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     <=",
    -0.59
    principalColumn
    -0.50
    ContentAsync
    -0.48
     jScrollPane
    -0.47
    mybatisplus
    -0.45
    exitRule
    -0.45
    पया
    -0.44
     HttpNotFound
    -0.44
    AutoScaleMode
    -0.42
    Попис
    -0.41
    POSITIVE LOGITS
     experience
    1.66
     expertise
    1.42
    experience
    1.41
     Erfahrung
    1.35
     experiencia
    1.34
     experiência
    1.31
    经验
    1.31
    經驗
    1.29
    Experience
    1.29
     ervaring
    1.27
    Activations Density 0.393%

    No Known Activations