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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. 2851
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    Explanations

    references to meal times, particularly lunch

    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
     nightly
    -0.60
    Night
    -0.60
     tonight
    -0.57
     Tonight
    -0.57
     Night
    -0.56
     Nights
    -0.55
    Nights
    -0.55
     فريبيس
    -0.54
    Tonight
    -0.53
    nights
    -0.53
    POSITIVE LOGITS
     lunch
    2.27
     Lunch
    1.98
    Lunch
    1.91
    lunch
    1.88
     LUNCH
    1.84
     lunchtime
    1.78
     noon
    1.65
     lunches
    1.63
     luncheon
    1.62
    午餐
    1.50
    Activations Density 0.173%

    No Known Activations