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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 36-GEMMASCOPE-RES-16K
    11. 4915
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    INDEX
    Explanations

    medical conditions and their associated symptoms or features

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 36-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_36/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.36.hook_resid_post
    Hook Layer
    36
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    principalColumn
    -0.48
     nahilalakip
    -0.43
    zzleHttp
    -0.34
    Seznam
    -0.34
    PickerController
    -0.31
     HTML
    -0.30
    NewRow
    -0.30
    BeginContext
    -0.30
     clk
    -0.30
    Referencoj
    -0.29
    POSITIVE LOGITS
     lung
    1.63
     lungs
    1.54
     Lung
    1.51
    Lung
    1.47
     bron
    1.39
     pulmonary
    1.37
    肺
    1.30
     Bron
    1.29
    Bron
    1.28
    lung
    1.27
    Activations Density 0.885%

    No Known Activations