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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 33-GEMMASCOPE-RES-16K
    11. 12612
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    Explanations

    references to medical professionals and their qualifications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 33-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_33/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.33.hook_resid_post
    Hook Layer
    33
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Seconde
    -0.33
     במש
    -0.32
     sıcak
    -0.32
    Route
    -0.31
     Cama
    -0.30
     Soccerway
    -0.30
     kotak
    -0.30
    Sec
    -0.30
     Economic
    -0.29
     tänka
    -0.29
    POSITIVE LOGITS
    AndEndTag
    0.81
     homoto
    0.73
     detoxification
    0.71
     autoimmune
    0.66
     Paleo
    0.66
     nutritional
    0.65
     integrative
    0.65
     immune
    0.64
     Paglinawan
    0.64
    immune
    0.63
    Activations Density 0.295%

    No Known Activations