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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 10-GEMMASCOPE-RES-16K
    11. 6660
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    specific hotel and lodging names

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 10-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_10/width_16k/average_l0_113
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.10.hook_resid_post
    Hook Layer
    10
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     &___
    -0.38
     modified
    -0.28
     querida
    -0.28
     Vil
    -0.27
     metus
    -0.27
     int
    -0.26
    所
    -0.25
    MODIFY
    -0.24
    createStatement
    -0.24
     Driscoll
    -0.24
    POSITIVE LOGITS
    istoitu
    0.77
    styleType
    0.73
    بوابة
    0.68
    RectangleBorder
    0.68
    riott
    0.66
     оригіналу
    0.65
    Hilton
    0.65
     Marriott
    0.65
     Hilton
    0.65
     Geſch
    0.63
    Activations Density 0.170%

    No Known Activations