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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 19-GEMMASCOPE-RES-16K
    11. 2431
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    Explanations

    associations between lifestyle factors and health risks

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 19-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_19/width_16k/average_l0_73
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.19.hook_resid_post
    Hook Layer
    19
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    <bos>
    -0.52
    yorsunuz
    -0.48
     pageable
    -0.47
     negoci
    -0.47
     kasarigan
    -0.45
     незавершена
    -0.44
    TSCA
    -0.43
    охра
    -0.42
    inguishing
    -0.42
    Життєпис
    -0.42
    POSITIVE LOGITS
     diseases
    0.94
     disease
    0.89
     occurrence
    0.82
     damage
    0.75
     accidents
    0.74
     cardiovascular
    0.74
    disease
    0.73
     infections
    0.73
    diseases
    0.72
     morbidity
    0.71
    Activations Density 0.564%

    No Known Activations