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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. 6071
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    Explanations

    medical conditions and treatments

    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
    rungsseite
    -0.59
     nahilalakip
    -0.48
     Walkover
    -0.45
    webElementXpaths
    -0.45
     ligiloj
    -0.44
     lenker
    -0.42
     jadx
    -0.42
    ">//
    -0.41
    Наводи
    -0.39
    Tracce
    -0.39
    POSITIVE LOGITS
     doctors
    0.92
    doctors
    0.80
     médicos
    0.75
     medically
    0.73
    Doctors
    0.73
     worsening
    0.73
     Ärzte
    0.71
     médecins
    0.71
     Doctors
    0.71
     debilitating
    0.71
    Activations Density 0.648%

    No Known Activations