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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 0-GEMMASCOPE-RES-16K
    11. 10468
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    references to meals, specifically lunch and dinner settings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 0-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_0/width_16k/average_l0_129
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.0.hook_resid_post
    Hook Layer
    0
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     zijne
    -0.55
    kháu
    -0.52
     padrões
    -0.50
     palha
    -0.50
     episódios
    -0.47
     casais
    -0.47
    brinco
    -0.47
     meninos
    -0.47
    sofá
    -0.45
     pensamentos
    -0.45
    POSITIVE LOGITS
     recre
    0.79
     supper
    0.74
     lunch
    0.74
     dinner
    0.71
     luncheon
    0.69
     recreation
    0.68
    Lunch
    0.66
     club
    0.65
     lunches
    0.65
     dinners
    0.65
    Activations Density 1.817%

    No Known Activations