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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. 8377
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    references to financial transactions and relationships in the medical field

    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
     NSError
    -0.51
    évaluateur
    -0.46
    principalTable
    -0.45
     sumpay
    -0.45
    PyExc
    -0.44
    }}^{(
    -0.43
    Lähteet
    -0.43
    Viited
    -0.42
     يتيمه
    -0.42
    ,‎
    -0.41
    POSITIVE LOGITS
     Gla
    0.60
     Abbott
    0.59
     Boe
    0.57
     Johnson
    0.55
     Med
    0.55
     Janssen
    0.54
     Baxter
    0.53
     Roche
    0.53
     Hoffmann
    0.51
     pharma
    0.50
    Activations Density 0.601%

    No Known Activations