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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 35-GEMMASCOPE-RES-16K
    11. 14799
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    components and details related to hospitality and travel accommodations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 35-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_35/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.35.hook_resid_post
    Hook Layer
    35
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    thâu
    -0.49
    tagext
    -0.46
    kwds
    -0.44
     Teich
    -0.42
    delwed
    -0.41
     continúas
    -0.41
    Diweddarwch
    -0.41
     Italijanski
    -0.41
     вр
    -0.40
     tirantes
    -0.40
    POSITIVE LOGITS
     minibar
    0.70
     toiletries
    0.63
     Nespresso
    0.62
     hairdryer
    0.59
     complimentary
    0.57
     kettle
    0.56
    Nes
    0.52
     flat
    0.52
     ironing
    0.49
     minib
    0.49
    Activations Density 0.096%

    No Known Activations