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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. 9064
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    references to specific medical conditions and their correlations

    oai_token-act-pair · gpt-4o-miniTriggered 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
    Not in Any Lists

    No Comments

    Negative Logits
    Personendaten
    -0.70
    parsedMessage
    -0.62
     OFDb
    -0.57
    writeFieldEnd
    -0.56
    scribers
    -0.56
    featureID
    -0.54
     nahilalakip
    -0.54
     sumpay
    -0.53
    enderror
    -0.53
     وتسجيلات
    -0.53
    POSITIVE LOGITS
     co
    3.59
     Co
    2.33
    co
    2.08
    Co
    2.02
     cof
    1.43
    共
    1.38
     coc
    1.33
     coexist
    1.29
     coö
    1.28
     ко
    1.26
    Activations Density 1.329%

    No Known Activations