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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 11974
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    specific references to medical conditions and their indicators

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_23/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.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    modb
    -0.58
    IUrlHelper
    -0.58
    ➊
    -0.54
    pausal
    -0.53
    hydrop
    -0.52
    sidemargin
    -0.51
    Salva
    -0.50
     $_"
    -0.50
    leyball
    -0.50
    ܆
    -0.50
    POSITIVE LOGITS
    zerw
    0.31
    RequiresApi
    0.29
     definitely
    0.29
    出版年
    0.28
    :✨
    0.28
    lijk
    0.27
    提
    0.27
    krankungen
    0.27
    höhung
    0.25
    請繼續往下閱讀
    0.25
    Activations Density 0.235%

    No Known Activations