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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. 14207
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    Explanations

    references to various types of seafood and meat dishes

    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
    FromNib
    -0.40
     JpaRepository
    -0.39
     Slo
    -0.38
    issantes
    -0.36
    pecabezas
    -0.36
    DockStyle
    -0.36
    колад
    -0.35
     Orgel
    -0.35
    gestellten
    -0.34
    gamesh
    -0.34
    POSITIVE LOGITS
     crab
    0.80
     lobster
    0.78
     seafood
    0.78
     shellfish
    0.77
     lobsters
    0.74
     Lobster
    0.74
     crustace
    0.72
     shrimp
    0.72
     crabs
    0.71
     Crab
    0.70
    Activations Density 0.242%

    No Known Activations