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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 34-GEMMASCOPE-RES-16K
    11. 2387
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    Explanations

    phrases indicating experience and qualifications in professional contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 34-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_34/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.34.hook_resid_post
    Hook Layer
    34
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     <=",
    -0.60
    पया
    -0.47
     jScrollPane
    -0.43
    ActionMode
    -0.42
    ContentAsync
    -0.42
    principalColumn
    -0.42
    Попис
    -0.38
     defaultstate
    -0.38
    AutoScaleMode
    -0.37
     Cigar
    -0.35
    POSITIVE LOGITS
     experience
    1.89
     expertise
    1.64
    experience
    1.59
    Experience
    1.48
     experiencia
    1.47
     EXPERIENCE
    1.47
     experiência
    1.46
     Erfahrung
    1.43
     Experience
    1.41
    经验
    1.39
    Activations Density 0.399%

    No Known Activations