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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 40-GEMMASCOPE-RES-16K
    11. 5758
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    Explanations

    phrases that highlight football-related critiques and managerial insights

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 40-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_40/width_16k/average_l0_125
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.40.hook_resid_post
    Hook Layer
    40
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     дописавши
    -0.44
     NIH
    -0.40
    +:+
    -0.39
     препратки
    -0.38
    PostConstruct
    -0.37
     propOrder
    -0.35
    Bim
    -0.34
    rollup
    -0.34
     Bim
    -0.33
    NIH
    -0.32
    POSITIVE LOGITS
     football
    1.65
     Football
    1.55
     footballers
    1.52
    Football
    1.48
    football
    1.45
     footballer
    1.42
     soccer
    1.41
     FOOTBALL
    1.40
     UEFA
    1.38
     FIFA
    1.37
    Activations Density 0.693%

    No Known Activations