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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 41-GEMMASCOPE-RES-16K
    11. 11981
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    Explanations

    medical terminologies related to cardiovascular health and risk factors

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 41-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_41/width_16k/average_l0_113
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.41.hook_resid_post
    Hook Layer
    41
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Mild
    -0.45
     
    -0.43
    awtextra
    -0.43
    $_['
    -0.42
     Mild
    -0.42
    hikariConfig
    -0.41
    mild
    -0.40
    tidase
    -0.39
    SharedDtor
    -0.39
     mild
    -0.38
    POSITIVE LOGITS
     history
    0.70
     smoking
    0.69
     tobacco
    0.65
     cigarette
    0.61
     trauma
    0.59
     previous
    0.57
     alcohol
    0.56
     Smoking
    0.56
     genetics
    0.56
    smoking
    0.56
    Activations Density 1.232%

    No Known Activations