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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 36-GEMMASCOPE-RES-16K
    11. 15548
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    elements related to hospitality and accommodations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 36-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_36/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.36.hook_resid_post
    Hook Layer
    36
    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
    -0.34
    тябрь
    -0.34
     spect
    -0.34
     säl
    -0.34
     gră
    -0.33
     спо
    -0.32
    Lycka
    -0.32
    xel
    -0.31
     MODELS
    -0.31
    排
    -0.31
    POSITIVE LOGITS
     toiletries
    0.85
     minibar
    0.82
     hairdryer
    0.78
     Nespresso
    0.73
     complimentary
    0.71
     slippers
    0.71
     ironing
    0.70
     towels
    0.70
     pillow
    0.69
     housekeeping
    0.65
    Activations Density 0.109%

    No Known Activations