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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 25-GEMMASCOPE-RES-16K
    11. 2722
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    references to fast food items, particularly those related to sandwiches and burgers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 25-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_25/width_16k/average_l0_116
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.25.hook_resid_post
    Hook Layer
    25
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     wine
    -0.61
     Vineyards
    -0.58
     Somme
    -0.57
    Wine
    -0.57
    istoitu
    -0.56
     Wine
    -0.56
     wineries
    -0.56
    клопе
    -0.56
    帖最后由
    -0.55
     Вікі
    -0.55
    POSITIVE LOGITS
     McDonald
    0.98
    McDonald
    0.89
     fries
    0.84
     Burger
    0.84
     Wendy
    0.83
     fast
    0.82
    fastjson
    0.82
     McDonalds
    0.81
     burger
    0.81
     drive
    0.81
    Activations Density 0.186%

    No Known Activations