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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. 6497
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    Explanations

    names of hotels and accommodations

    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
     &___
    -0.48
    MessageHandler
    -0.31
    ExecuteReader
    -0.31
    __]
    -0.30
     just
    -0.29
    ArrowToggle
    -0.29
     ved
    -0.29
     Frucht
    -0.28
     (((
    -0.27
    돕
    -0.27
    POSITIVE LOGITS
    Hilton
    0.75
     Marriott
    0.71
     Hilton
    0.69
     للمعارف
    0.69
     Sheraton
    0.69
    riott
    0.65
     оригіналу
    0.65
     lenker
    0.64
    Espèce
    0.63
     hotels
    0.62
    Activations Density 0.118%

    No Known Activations