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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 12717
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    Explanations

    references to meal times and dining experiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 9-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_9/width_16k/average_l0_100
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Archangel
    -0.49
     pathogen
    -0.49
     Produto
    -0.48
    apimachinery
    -0.48
    InInspector
    -0.47
     athlete
    -0.47
     digitais
    -0.47
     asiático
    -0.46
    AutoScaleMode
    -0.46
     peito
    -0.46
    POSITIVE LOGITS
     dinner
    1.64
    Dinner
    1.61
     Dinner
    1.60
    dinner
    1.45
     DINNER
    1.45
     lunch
    1.39
    Lunch
    1.35
     Lunch
    1.34
     LUNCH
    1.23
    lunch
    1.22
    Activations Density 0.127%

    No Known Activations