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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 8-GEMMASCOPE-RES-16K
    11. 13601
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    Explanations

    references to breakfast and related meals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 8-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_8/width_16k/average_l0_71
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.8.hook_resid_post
    Hook Layer
    8
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     numberWith
    -0.71
    mtliche
    -0.68
     Rake
    -0.68
    وانید
    -0.67
     Kommune
    -0.66
    راب
    -0.66
    Says
    -0.66
    солю
    -0.65
    OOC
    -0.64
     Warden
    -0.64
    POSITIVE LOGITS
     breakfast
    1.55
     Breakfast
    1.38
    breakfast
    1.33
     breakfasts
    1.30
    Breakfast
    1.28
     Frühstück
    0.99
     desayuno
    0.92
     lunch
    0.92
    Lunch
    0.92
     supper
    0.90
    Activations Density 0.046%

    No Known Activations