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    1. Home
    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-2B
    4. Residual Stream - 16k
    5. 14-GEMMASCOPE-RES-16K
    6. 2822
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    Explanations

    elements related to lunch or lunchtime activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 14-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_14/width_16k/average_l0_84
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.14.hook_resid_post
    Hook Layer
    14
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Nights
    -0.95
     nights
    -0.93
     Sleep
    -0.91
     nightly
    -0.86
    Sleep
    -0.82
     Night
    -0.81
    Nights
    -0.81
    Night
    -0.81
    nights
    -0.79
     sleep
    -0.79
    POSITIVE LOGITS
     lunch
    1.26
     Lunch
    1.17
    Lunch
    1.12
     LUNCH
    1.07
    lunch
    1.05
     lunches
    1.01
     lunchtime
    0.95
     luncheon
    0.93
    noons
    0.90
     midday
    0.89
    Activations Density 0.227%

    No Known Activations