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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 7-GEMMASCOPE-RES-16K
    11. 14891
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    Explanations

    references to fast food companies and their products

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 7-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_7/width_16k/average_l0_92
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.7.hook_resid_post
    Hook Layer
    7
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    TintMode
    -0.60
    tagHelperRunner
    -0.46
     Paglinawan
    -0.45
     Waray
    -0.45
     Baruch
    -0.44
    ngths
    -0.44
    multer
    -0.43
    featureID
    -0.43
    yoga
    -0.43
     intptr
    -0.42
    POSITIVE LOGITS
     McDonald
    0.93
     McDonalds
    0.89
     KFC
    0.84
    McDonald
    0.84
     mcdonald
    0.73
    KFC
    0.71
    cdonald
    0.69
     franchise
    0.64
     Franchise
    0.62
     Burger
    0.59
    Activations Density 0.366%

    No Known Activations