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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 35-GEMMASCOPE-RES-16K
    11. 12211
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    Explanations

    terms related to cardiovascular disease and its risk factors

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 35-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_35/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.35.hook_resid_post
    Hook Layer
    35
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     nahilalakip
    -0.48
     ویکی‌پدی
    -0.47
    zku
    -0.42
    zelt
    -0.42
    constr
    -0.41
    cheln
    -0.40
     Hacks
    -0.40
    jetunion
    -0.39
    gentle
    -0.39
     tambour
    -0.39
    POSITIVE LOGITS
     predisposition
    0.73
     développer
    0.70
     desarrollar
    0.63
     susceptibility
    0.60
     risk
    0.60
     predis
    0.60
     develops
    0.59
     develop
    0.59
     desarrollan
    0.58
     impaired
    0.57
    Activations Density 1.698%

    No Known Activations