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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 35-GEMMASCOPE-RES-16K
    11. 7475
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    mentions of medical professionals and institutions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 35-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_35/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.35.hook_resid_post
    Hook Layer
    35
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    TypedDataSet
    -0.43
     ujednoznacz
    -0.38
     conci
    -0.36
     Philadelphia
    -0.36
     engagements
    -0.35
    StackNavigator
    -0.35
     Pyongyang
    -0.35
     schu
    -0.33
     scaled
    -0.33
    rungsseite
    -0.33
    POSITIVE LOGITS
     Marathi
    0.96
     Maharashtra
    0.96
    Maharashtra
    0.85
     Pune
    0.76
     Nagpur
    0.69
    Pune
    0.68
     Thane
    0.64
    Mumbai
    0.63
     Mumbai
    0.63
     Patil
    0.61
    Activations Density 0.163%

    No Known Activations