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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 39-GEMMASCOPE-RES-16K
    11. 1120
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    elements related to medical terminology and biological processes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 39-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_39/width_16k/average_l0_131
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.39.hook_resid_post
    Hook Layer
    39
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     الرياضيه
    -0.81
    Personendaten
    -0.75
     defaultstate
    -0.73
     فريبيس
    -0.72
     increí
    -0.70
     Geſch
    -0.69
    rungsseite
    -0.69
     plufieurs
    -0.68
     мәкал
    -0.68
     deſſen
    -0.65
    POSITIVE LOGITS
    _
    0.39
    ans
    0.33
    {~
    0.32
    *
    0.31
    -
    0.31
    ®
    0.31
    Ⓡ
    0.30
    hideLoading
    0.30
    См
    0.29
    ฯ
    0.29
    Activations Density 3.348%

    No Known Activations