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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. 2581
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    Explanations

    expressions of personal health experiences and medical conditions

    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
    rungsseite
    -0.65
     persons
    -0.48
     nahilalakip
    -0.47
     lenker
    -0.43
     personen
    -0.43
     Вікіпе
    -0.42
    webElementXpaths
    -0.42
    tagHelper
    -0.41
     consumers
    -0.41
     ग्राहकों
    -0.41
    POSITIVE LOGITS
     doctors
    0.81
     diagnoses
    0.76
     diagnosed
    0.75
     diagnosis
    0.70
     worsening
    0.70
     debilitating
    0.70
    doctors
    0.68
     diagnose
    0.67
    Doctors
    0.66
     Ärzte
    0.65
    Activations Density 0.629%

    No Known Activations