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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 16-GEMMASCOPE-RES-16K
    11. 10423
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    Explanations

    terms related to cardiovascular health metrics 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 @ 16-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_16/width_16k/average_l0_75
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.16.hook_resid_post
    Hook Layer
    16
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ftagPool
    -0.53
    Parcelize
    -0.49
    ReusableCell
    -0.48
    *),
    -0.47
    MultipartFile
    -0.46
    SourceChecksum
    -0.45
     Igles
    -0.44
    OCCURRED
    -0.44
     يتيمه
    -0.43
    adpleegd
    -0.43
    POSITIVE LOGITS
     Hypertension
    0.85
     hypertension
    0.85
     pressure
    0.75
    tensive
    0.73
    血压
    0.73
     hiperten
    0.69
     Pressure
    0.66
    pressure
    0.64
    Pressure
    0.63
    eclampsia
    0.63
    Activations Density 0.139%

    No Known Activations