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    1. Home
    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-9B
    4. Residual Stream - 16k
    5. 36-GEMMASCOPE-RES-16K
    6. 6964
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    keywords related to comfort and support in household items

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 36-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_36/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.36.hook_resid_post
    Hook Layer
    36
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     macetas
    -0.54
     estekak
    -0.53
     AssemblyTitle
    -0.47
     câbles
    -0.46
     maceta
    -0.46
    tangentMode
    -0.46
     onOptions
    -0.44
    🎳
    -0.44
     ExecuteAsync
    -0.44
    rrggbb
    -0.43
    POSITIVE LOGITS
     pillow
    1.02
     pillows
    0.98
     mattress
    0.93
     mattresses
    0.92
     Pillow
    0.86
    Pillow
    0.85
    pillow
    0.83
     Mattress
    0.80
     foam
    0.75
    枕
    0.75
    Activations Density 0.165%

    No Known Activations