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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 14809
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    Explanations

    descriptive elements related to hospitality and accommodation experiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_22/width_16k/average_l0_123
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    ANTLR
    -0.57
     AspNetCore
    -0.53
    :✨
    -0.52
    ptonshire
    -0.51
    kháu
    -0.50
     caminhão
    -0.50
     aquarela
    -0.50
    bondale
    -0.49
     transfieras
    -0.47
     betweenstory
    -0.47
    POSITIVE LOGITS
     hotel
    0.57
     breakfast
    0.49
     morning
    0.49
     hote
    0.48
     concierge
    0.48
     Resort
    0.47
     daily
    0.45
     Hotel
    0.45
    Hotel
    0.44
     buffet
    0.43
    Activations Density 0.075%

    No Known Activations