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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. 13230
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    references to teams or players in sports contexts, particularly focusing on the performance and statistics of teams

    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
     enamorado
    -0.42
    medades
    -0.39
     básica
    -0.36
    methods
    -0.34
    पया
    -0.34
    platin
    -0.33
    辦法
    -0.32
     cotidiana
    -0.32
     Administrativna
    -0.32
     querido
    -0.31
    POSITIVE LOGITS
    queryInterface
    0.59
     UIFont
    0.57
     game
    0.57
     crowd
    0.57
     visitors
    0.55
    ########.
    0.50
     referrerpolicy
    0.50
     lone
    0.49
     fans
    0.49
    VersionUID
    0.49
    Activations Density 0.170%

    No Known Activations