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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 13534
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    Explanations

    references to cuisine types and dining experiences

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_23/width_16k/average_l0_75
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    PickerController
    -0.61
    
    -0.60
    脚注の使い方
    -0.53
    issory
    -0.53
     ſche
    -0.52
     Anſ
    -0.51
     pygame
    -0.51
     bales
    -0.51
    
    -0.50
    ecycle
    -0.50
    POSITIVE LOGITS
     tasted
    0.88
     delicious
    0.86
     menu
    0.83
     taste
    0.82
     ordering
    0.82
     flavours
    0.79
     tasting
    0.78
    Visited
    0.77
     flavors
    0.77
     tastes
    0.76
    Activations Density 0.262%

    No Known Activations