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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 27-GEMMASCOPE-RES-16K
    11. 7983
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    Explanations

    references to lunch 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 @ 27-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_27/width_16k/average_l0_118
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.27.hook_resid_post
    Hook Layer
    27
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     night
    -1.17
     Night
    -1.09
     nights
    -1.09
    night
    -1.07
    Night
    -1.05
     NIGHT
    -1.02
     nightly
    -1.02
     Nights
    -0.98
     nighttime
    -0.96
    nights
    -0.94
    POSITIVE LOGITS
     lunch
    1.43
     Lunch
    1.35
    Lunch
    1.33
    lunch
    1.23
     LUNCH
    1.15
     lunchtime
    1.13
     lunches
    1.00
     luncheon
    0.99
    午餐
    0.98
     Luncheon
    0.94
    Activations Density 0.206%

    No Known Activations