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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 33-GEMMASCOPE-RES-16K
    11. 8682
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    Explanations

    mentions of wine-related events and experiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 33-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_33/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.33.hook_resid_post
    Hook Layer
    33
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     cromado
    -0.39
     paño
    -0.39
     enchufe
    -0.38
     plastique
    -0.38
    intios
    -0.36
     determinado
    -0.35
    whatsapp
    -0.33
     plástico
    -0.33
     pauvres
    -0.33
    Britannique
    -0.33
    POSITIVE LOGITS
     downtown
    1.04
     Downtown
    0.94
    Downtown
    0.89
    downtown
    0.85
     breweries
    0.82
     boutiques
    0.82
     wineries
    0.82
     festivals
    0.75
     antiqu
    0.74
     Historic
    0.74
    Activations Density 0.383%

    No Known Activations