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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 38-GEMMASCOPE-RES-16K
    11. 12765
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    descriptions related to comfort and support in furniture, specifically for patients

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 38-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_38/width_16k/average_l0_128
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.38.hook_resid_post
    Hook Layer
    38
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     esmal
    -0.50
     macetas
    -0.47
     estekak
    -0.47
    ้อมูล
    -0.46
     maceta
    -0.42
     lápis
    -0.42
     drzwi
    -0.41
     setId
    -0.41
     niech
    -0.41
     Bracelet
    -0.40
    POSITIVE LOGITS
     foam
    0.90
     firmness
    0.82
     pillow
    0.80
     foams
    0.77
     pillows
    0.77
    Firm
    0.74
    foam
    0.74
     firm
    0.73
     Foam
    0.72
    Foam
    0.72
    Activations Density 0.230%

    No Known Activations