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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 7555
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    terms and references related to different types of wood and wood construction materials

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 9-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_9/width_16k/average_l0_100
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     intptr
    -0.57
    NewUrlParser
    -0.51
    enumi
    -0.50
    enumii
    -0.44
    DockStyle
    -0.44
    出版年
    -0.42
    DIPSETTING
    -0.41
    AnchorStyles
    -0.41
    nanoTime
    -0.40
    verlauf
    -0.39
    POSITIVE LOGITS
    ArrowToggle
    0.61
    erapeu
    0.48
     ویکی‌پدی
    0.47
    DataAnnotations
    0.43
     myſelf
    0.43
     Lumber
    0.43
     فريبيس
    0.42
     Monfieur
    0.42
    retention
    0.40
    Gambas
    0.40
    Activations Density 0.185%

    No Known Activations