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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 33-GEMMASCOPE-RES-16K
    11. 12324
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    Explanations

    terms related to health risks and conditions associated with lifestyle behaviors

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 33-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_33/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.33.hook_resid_post
    Hook Layer
    33
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     betweenstory
    -0.68
    principalColumn
    -0.59
    出版年
    -0.52
     Photocase
    -0.50
    ScopeManager
    -0.49
    ftagPool
    -0.49
    🔕
    -0.48
    blico
    -0.48
    afficheront
    -0.47
    tagHelperRunner
    -0.46
    POSITIVE LOGITS
     cardiovascular
    0.81
     osteoporosis
    0.68
     cardiovas
    0.65
     heart
    0.64
     Cardiovascular
    0.64
     cancer
    0.62
     hypertension
    0.61
     dementia
    0.60
     diabetes
    0.59
     Alzheimer
    0.59
    Activations Density 0.711%

    No Known Activations