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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. 368
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    numerical values and mathematical expressions

    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
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    No Comments

    Negative Logits
     تضيفلها
    -0.49
     חיצוניים
    -0.44
     AutoMapper
    -0.39
     OMITBAD
    -0.39
     Bagian
    -0.38
     muligt
    -0.38
    NewLabel
    -0.38
     '{@
    -0.37
     escuro
    -0.37
     tradução
    -0.37
    POSITIVE LOGITS
     препратки
    0.65
     verſ
    0.59
     queſta
    0.59
     createDate
    0.59
    forName
    0.58
     projectId
    0.56
     ſche
    0.56
    ParseException
    0.55
    ydon
    0.55
     Myron
    0.54
    Activations Density 1.109%

    No Known Activations