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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 13199
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    text related to recycling and waste management

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_22/width_16k/average_l0_123
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Keuangan
    -0.40
     seminario
    -0.36
     desempenho
    -0.35
     églises
    -0.34
     mendengarkan
    -0.34
     anbef
    -0.34
     Evangelio
    -0.33
     strategis
    -0.33
     sesso
    -0.33
     recommend
    -0.33
    POSITIVE LOGITS
     recycling
    0.68
     wireType
    0.65
     recycle
    0.65
     plastics
    0.64
     Plastics
    0.61
     Recycle
    0.61
     dumpster
    0.60
     odpad
    0.60
     trash
    0.60
    recycling
    0.60
    Activations Density 0.103%

    No Known Activations