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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 36-GEMMASCOPE-RES-16K
    11. 8832
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    Explanations

    expressions of 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 @ 36-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_36/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.36.hook_resid_post
    Hook Layer
    36
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     <=",
    -0.61
    principalColumn
    -0.49
     jScrollPane
    -0.46
    ContentAsync
    -0.45
     HttpNotFound
    -0.43
    पया
    -0.42
    exitRule
    -0.37
    AutoScaleMode
    -0.34
     washers
    -0.33
    ActionMode
    -0.33
    POSITIVE LOGITS
     experience
    1.59
     expertise
    1.40
    experience
    1.36
     Erfahrung
    1.30
     experiencia
    1.26
     erfaring
    1.25
    经验
    1.25
     experiência
    1.23
    Experience
    1.23
    經驗
    1.22
    Activations Density 0.396%

    No Known Activations