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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 7751
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    Explanations

    references to lunch and related meal concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 9-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_9/width_16k/average_l0_73
    Prompts (Dashboard)
    36,864 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
     Winaray
    -0.79
     Manner
    -0.74
    Ciri
    -0.73
    ModelSerializer
    -0.72
     Koop
    -0.70
     RequestMethod
    -0.68
    Hod
    -0.67
    лерея
    -0.67
    +#+#
    -0.67
    ########.
    -0.66
    POSITIVE LOGITS
     Lunch
    1.35
     LUNCH
    1.34
     lunch
    1.27
     lunches
    1.24
    Lunch
    1.24
    lunch
    1.11
     lunchtime
    0.98
     luncheon
    0.88
     bento
    0.82
    午餐
    0.81
    Activations Density 0.061%

    No Known Activations