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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 11716
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    medical specialties and related terms in a healthcare context

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_22/width_16k/average_l0_123
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    <eos>
    -0.42
    None
    -0.31
    !!
    -0.31
    ”.
    -0.30
    ".
    -0.30
     lá
    -0.30
    !
    -0.29
    ”
    -0.29
    ?
    -0.29
    ↵↵
    -0.29
    POSITIVE LOGITS
     estekak
    0.82
     Italijani
    0.76
     Infórmanos
    0.71
     kasarigan
    0.70
     Мексичка
    0.69
    Хьажоргаш
    0.68
    Tembelea
    0.68
     كومونز
    0.67
     autorytatywna
    0.67
    principalTable
    0.66
    Activations Density 0.376%

    No Known Activations