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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 38-GEMMASCOPE-RES-16K
    11. 8683
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    medical procedures and surgical experiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 38-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_38/width_16k/average_l0_128
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.38.hook_resid_post
    Hook Layer
    38
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Personendaten
    -0.43
     nahilalakip
    -0.42
     ligiloj
    -0.40
     lenker
    -0.39
    afficheront
    -0.39
    Cyfeiriadau
    -0.38
     aDecoder
    -0.38
    TagHelper
    -0.38
     referrerpolicy
    -0.37
    бах
    -0.36
    POSITIVE LOGITS
     doctors
    1.00
    doctors
    0.87
     prognosis
    0.87
    Doctors
    0.84
     Ärzte
    0.83
     Doctors
    0.78
     underwent
    0.75
     recuperación
    0.74
     medically
    0.72
     médicos
    0.72
    Activations Density 0.534%

    No Known Activations