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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 33-GEMMASCOPE-RES-16K
    11. 11471
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    references to wine and related experiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 33-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_33/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.33.hook_resid_post
    Hook Layer
    33
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     lenker
    -0.50
     utafitiHapana
    -0.47
     PCM
    -0.42
    undai
    -0.40
     Frisch
    -0.40
    siel
    -0.40
     FormData
    -0.39
    rawDesc
    -0.39
     prière
    -0.38
    AndroidJUnit
    -0.37
    POSITIVE LOGITS
     wine
    2.09
     Wine
    1.86
    Wine
    1.78
     wines
    1.74
     WINE
    1.66
     wineries
    1.64
    wine
    1.64
     winery
    1.63
     vineyards
    1.59
     vineyard
    1.58
    Activations Density 0.197%

    No Known Activations