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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. 5496
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    Explanations

    mentions of football players and their performance statistics

    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
     título
    -0.46
     títulos
    -0.45
     Administrativna
    -0.45
    beelden
    -0.43
    Ufficio
    -0.43
     désolés
    -0.42
    MergeFrom
    -0.41
    tagHelperRunner
    -0.40
     tytu
    -0.40
     فريبيس
    -0.39
    POSITIVE LOGITS
     reserve
    0.91
     reserves
    0.83
     backup
    0.76
    reserve
    0.73
    Reserve
    0.73
     backups
    0.71
     Reserves
    0.70
     Reserve
    0.70
     substituting
    0.70
     bench
    0.68
    Activations Density 0.332%

    No Known Activations