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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. 10352
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    phrases related to dietary and nutritional content

    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
    berdayakan
    -0.62
     HasFactory
    -0.49
     Bioaccumulative
    -0.44
    InputBorder
    -0.44
     Paglinawan
    -0.40
    quiao
    -0.39
    BeginInit
    -0.39
     thro
    -0.38
    Bioaccumulative
    -0.38
     Samaria
    -0.38
    POSITIVE LOGITS
    MessageTagHelper
    0.48
    üyada
    0.45
    NameInMap
    0.44
    chelles
    0.44
    defn
    0.41
    期刊论文
    0.41
    rawDesc
    0.40
     surla
    0.38
    年には
    0.38
    MENAFN
    0.38
    Activations Density 0.594%

    No Known Activations