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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. 3668
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    keywords related to health assessments and monitoring techniques

    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
     ModelExpression
    -0.40
     Jesucristo
    -0.39
    ReusableCell
    -0.36
    InjectMocks
    -0.35
    zbęd
    -0.34
     propOrder
    -0.34
     nonUne
    -0.34
    behörde
    -0.33
    DataAnnotations
    -0.33
    穌
    -0.32
    POSITIVE LOGITS
     Fitbit
    0.90
     Garmin
    0.85
     wearable
    0.82
     trackers
    0.79
     smartwatch
    0.79
     fitness
    0.77
     tracker
    0.75
    Garmin
    0.74
     garmin
    0.74
     Wear
    0.73
    Activations Density 0.221%

    No Known Activations