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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 11872
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    Explanations

    quantitative measures related to medical dropout and mortality rates

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 9-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_9/width_16k/average_l0_100
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Schal
    -0.42
     studs
    -0.41
    pendicular
    -0.41
    air
    -0.40
     strut
    -0.40
    erdin
    -0.40
     Loew
    -0.40
     Lav
    -0.40
     LEG
    -0.40
     Golf
    -0.39
    POSITIVE LOGITS
     mortality
    0.76
     Mortality
    0.64
     tasas
    0.62
    Mortality
    0.61
     úspě
    0.55
     survival
    0.55
     desmotivaciones
    0.54
    tanleria
    0.53
     resultaten
    0.52
     éxito
    0.52
    Activations Density 1.262%

    No Known Activations