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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 34-GEMMASCOPE-RES-16K
    11. 436
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    elements related to comfort and support in products

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 34-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_34/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.34.hook_resid_post
    Hook Layer
    34
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     estekak
    -0.57
    省市镇
    -0.45
    AddTagHelper
    -0.44
     câbles
    -0.43
     Chancen
    -0.43
     tornillo
    -0.43
    новниш
    -0.43
     stalo
    -0.42
     dentaire
    -0.42
     inoxidable
    -0.41
    POSITIVE LOGITS
     cushion
    1.27
     cushioning
    1.27
     cushions
    1.23
     padding
    1.14
     Cushi
    1.09
     cushioned
    1.09
     pillows
    1.08
     Cushion
    1.07
     pillow
    1.05
     cushi
    1.02
    Activations Density 0.268%

    No Known Activations