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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 36-GEMMASCOPE-RES-16K
    11. 12511
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    Explanations

    proper nouns, particularly names of places and varietals associated with grapes and wine

    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
    NameInMap
    -0.52
     lenker
    -0.52
     nakalista
    -0.49
    Parcelize
    -0.48
    AccessorTable
    -0.47
    verwijspagina
    -0.46
     poveznice
    -0.46
    defaults
    -0.45
    匿名使用者
    -0.43
     utafitiHapana
    -0.43
    POSITIVE LOGITS
     grape
    0.80
     vineyard
    0.79
     vineyards
    0.79
     grapes
    0.76
     vines
    0.71
    Vine
    0.71
     wineries
    0.69
     winery
    0.68
    grape
    0.65
    Grape
    0.65
    Activations Density 0.247%

    No Known Activations