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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 4-GEMMASCOPE-RES-16K
    11. 15732
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    Explanations

    references to hotels and other accommodations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 4-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_4/width_16k/average_l0_124
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.4.hook_resid_post
    Hook Layer
    4
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    存于互联网档案馆
    -0.83
    Personensuche
    -0.83
     autorytatywna
    -0.74
    webElement
    -0.73
     مشين
    -0.72
     /\.(
    -0.71
    SharedCtor
    -0.71
    脚注の使い方
    -0.69
    paksa
    -0.65
    SequentialGroup
    -0.64
    POSITIVE LOGITS
     Hotel
    1.06
     hotel
    1.05
     HOTEL
    0.93
    hotel
    0.90
    Hotel
    0.89
     hotels
    0.87
     Hotels
    0.84
    HOTEL
    0.81
    Hilton
    0.78
    hotels
    0.75
    Activations Density 0.473%

    No Known Activations