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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 3-GEMMASCOPE-RES-16K
    11. 8134
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    Explanations

    references to different types of coatings and processes associated with them

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 3-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_3/width_16k/average_l0_90
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.3.hook_resid_post
    Hook Layer
    3
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     menj
    -0.50
     programme
    -0.49
     PCD
    -0.48
     Honours
    -0.48
     MMC
    -0.48
     honours
    -0.47
     Amelia
    -0.46
     Programme
    -0.45
     mj
    -0.44
     Galli
    -0.44
    POSITIVE LOGITS
     coating
    0.99
     Coating
    0.93
    coating
    0.85
     coatings
    0.79
     coat
    0.75
     coated
    0.75
    Coat
    0.72
     coats
    0.70
    coat
    0.69
    coated
    0.69
    Activations Density 0.148%

    No Known Activations