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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 8056
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    proper nouns and names associated with specific people or places

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_22/width_16k/average_l0_123
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    AutoModerator
    -0.43
     Chinatown
    -0.41
     Versus
    -0.39
    Versus
    -0.38
     SafeMath
    -0.38
     Confidential
    -0.38
     Flag
    -0.37
     Ecology
    -0.37
     gu
    -0.37
     Rate
    -0.36
    POSITIVE LOGITS
     Infórmanos
    0.64
    SharedCtor
    0.63
    TypedDataSet
    0.54
    脚注の使い方
    0.52
     ProtoMessage
    0.50
    GeoNames
    0.46
     especially
    0.45
     ddelweddau
    0.44
     notably
    0.43
    oneofs
    0.42
    Activations Density 0.791%

    No Known Activations