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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 7-GEMMASCOPE-RES-16K
    11. 15605
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    phrases related to professional experience and expertise

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 7-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_7/width_16k/average_l0_92
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.7.hook_resid_post
    Hook Layer
    7
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    setVerticalGroup
    -0.46
     initComponents
    -0.43
    出版年
    -0.34
     gro
    -0.32
     gefällt
    -0.30
    ('.'
    -0.30
    initis
    -0.30
     مض
    -0.30
     ni
    -0.30
     gross
    -0.30
    POSITIVE LOGITS
     expertise
    1.09
     experience
    1.06
     expérience
    0.96
    expertise
    0.93
     Erfahrung
    0.93
    experience
    0.93
     EXPERIENCE
    0.92
     Experience
    0.91
     experiencia
    0.88
    Experience
    0.88
    Activations Density 0.450%

    No Known Activations