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    1. Home
    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-9B
    4. Residual Stream - 16k
    5. 39-GEMMASCOPE-RES-16K
    6. 4879
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    Explanations

    keywords related to recycling initiatives and their effectiveness

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 39-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_39/width_16k/average_l0_131
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.39.hook_resid_post
    Hook Layer
    39
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    uxxxx
    -0.42
    AsUp
    -0.40
    invokeLater
    -0.38
    Rüyada
    -0.37
    帖最后由
    -0.36
    vily
    -0.36
    rativa
    -0.36
    teinte
    -0.35
     DbType
    -0.35
     ddelweddau
    -0.35
    POSITIVE LOGITS
     garbage
    1.73
     disposal
    1.67
     trash
    1.64
     recycling
    1.63
     Garbage
    1.52
     waste
    1.52
     Disposal
    1.48
     disposing
    1.45
     rubbish
    1.44
     Recycling
    1.44
    Activations Density 0.434%

    No Known Activations