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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 21-GEMMASCOPE-RES-16K
    11. 13977
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    Explanations

    references to feet and footwear

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 21-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_21/width_16k/average_l0_129
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.21.hook_resid_post
    Hook Layer
    21
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     الرياضيه
    -0.45
     Jensen
    -0.41
    ínű
    -0.39
     Vivid
    -0.39
    IEnumerable
    -0.38
     Ames
    -0.37
     Plasma
    -0.37
    /*
    -0.37
     Prisma
    -0.36
     Dort
    -0.35
    POSITIVE LOGITS
    Foot
    1.08
     FOOT
    1.06
     Foot
    1.02
     footwear
    0.98
    FOOT
    0.97
     foot
    0.97
    Shoe
    0.96
    foot
    0.94
     Footwear
    0.93
     Shoe
    0.92
    Activations Density 0.353%

    No Known Activations