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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 783
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    Explanations

    references to Japan and Japanese identity in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 9-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_9/width_16k/average_l0_73
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    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
    -0.76
     defaultstate
    -0.73
    WebVitals
    -0.72
     resultCode
    -0.70
    StructEnd
    -0.70
     orderId
    -0.67
    MethodManager
    -0.66
     lenker
    -0.66
     Didi
    -0.65
    UnknownFieldSet
    -0.64
    POSITIVE LOGITS
     Japan
    1.15
    Japan
    1.09
     Japanese
    1.07
     japonais
    1.04
    Jap
    1.01
     Jap
    1.01
     JAPAN
    0.99
    JAPAN
    0.97
     Japon
    0.95
    Japanese
    0.95
    Activations Density 0.045%

    No Known Activations