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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. 15886
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    Explanations

    terms related to cardiovascular and metabolic health risks

    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
    WriteBarrier
    -0.47
    Kali
    -0.44
     Kali
    -0.43
    ंदीखरीदारी
    -0.41
     oprot
    -0.41
     Verhältnisse
    -0.40
    RenderAtEndOf
    -0.40
    pulos
    -0.40
    pagation
    -0.40
    garan
    -0.40
    POSITIVE LOGITS
     cardiovascular
    0.71
     morbidity
    0.69
     mortality
    0.61
     cardiovas
    0.60
     développer
    0.59
     serious
    0.56
     premature
    0.54
     develop
    0.54
     developing
    0.54
     hospitalization
    0.53
    Activations Density 0.929%

    No Known Activations