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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 34-GEMMASCOPE-RES-16K
    11. 143
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    references to significant athletic achievements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 34-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_34/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.34.hook_resid_post
    Hook Layer
    34
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    StackNavigator
    -0.41
    IsUnicode
    -0.40
     cuivre
    -0.39
     Vikipedi
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    TestClass
    -0.38
    uidado
    -0.36
     remonter
    -0.36
     propOrder
    -0.36
     envejec
    -0.35
     päivä
    -0.35
    POSITIVE LOGITS
     All
    0.80
    All
    0.68
     honore
    0.62
    honor
    0.60
     honor
    0.60
     honorable
    0.60
    HON
    0.60
     voted
    0.60
     Honorable
    0.59
     hon
    0.57
    Activations Density 0.185%

    No Known Activations