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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 37-GEMMASCOPE-RES-16K
    11. 4034
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    Explanations

    references to grooming and personal care products

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 37-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_37/width_16k/average_l0_124
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.37.hook_resid_post
    Hook Layer
    37
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    RTLD
    -0.57
     soldered
    -0.51
     welds
    -0.50
     contamin
    -0.49
     allocator
    -0.47
     Rotation
    -0.47
     Seeder
    -0.47
     ujednoznacz
    -0.47
     melanin
    -0.46
     withdrawals
    -0.45
    POSITIVE LOGITS
     tidy
    0.69
     grooming
    0.62
     groom
    0.62
     trim
    0.62
     trimming
    0.61
     comb
    0.61
     groomed
    0.60
     neat
    0.59
    groom
    0.59
     tid
    0.58
    Activations Density 0.231%

    No Known Activations