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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 37-GEMMASCOPE-RES-16K
    11. 5963
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    references to medical professionals and their assessments or actions in a healthcare context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 37-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_37/width_16k/average_l0_124
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.37.hook_resid_post
    Hook Layer
    37
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     cdti
    -0.42
     poveznice
    -0.41
     remercie
    -0.39
     domestiques
    -0.38
    涕
    -0.38
    nemies
    -0.37
    oredCriteria
    -0.37
     transparentes
    -0.36
    editorial
    -0.36
    Välislingid
    -0.36
    POSITIVE LOGITS
     specialize
    0.90
     specializing
    0.87
     specializes
    0.84
     specialise
    0.84
     specialising
    0.80
     diagnosing
    0.79
     diagnose
    0.78
     specialises
    0.75
     working
    0.68
     specialized
    0.67
    Activations Density 0.572%

    No Known Activations