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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 40-GEMMASCOPE-RES-16K
    11. 7659
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    numerical data and percentages related to medical studies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 40-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_40/width_16k/average_l0_125
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.40.hook_resid_post
    Hook Layer
    40
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Stephenson
    -0.73
     Pemberton
    -0.69
     Rued
    -0.63
     STS
    -0.62
     Dutton
    -0.61
     Gleason
    -0.61
     Bergmann
    -0.60
     utafitiHapana
    -0.60
     Montoya
    -0.60
     Moseley
    -0.58
    POSITIVE LOGITS
    Robbie
    0.59
     Goldie
    0.57
     Robbie
    0.54
     Collie
    0.53
     Balla
    0.53
     Everglades
    0.52
    Vlad
    0.52
     Barrie
    0.51
     Shy
    0.50
     Marbella
    0.50
    Activations Density 2.352%

    No Known Activations