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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 15-GEMMASCOPE-RES-16K
    11. 788
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    proper nouns and names associated with football clubs

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 15-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_15/width_16k/average_l0_131
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.15.hook_resid_post
    Hook Layer
    15
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     ragaz
    -0.58
     Houſe
    -0.56
     Monfieur
    -0.55
    IntoConstraints
    -0.55
     ujednoznacz
    -0.54
     ſta
    -0.53
     leaſt
    -0.52
     Theſe
    -0.52
     ſeveral
    -0.52
     Mexiko
    -0.50
    POSITIVE LOGITS
     Balkan
    0.48
    apiUrl
    0.43
    nezeu
    0.41
     Infórmanos
    0.40
     Romanian
    0.39
     Ghe
    0.39
    Atsauces
    0.38
     QName
    0.37
     Telerik
    0.37
    jedis
    0.37
    Activations Density 0.222%

    No Known Activations