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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 10-GEMMASCOPE-RES-16K
    11. 8833
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    markup language elements and their attributes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 10-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_10/width_16k/average_l0_77
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.10.hook_resid_post
    Hook Layer
    10
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    AutoScale
    -0.64
    ation
    -0.59
     Brun
    -0.57
     Juni
    -0.57
     berkom
    -0.57
    antd
    -0.55
     fili
    -0.53
     Steen
    -0.53
     Rama
    -0.53
     ven
    -0.53
    POSITIVE LOGITS
    ="#">
    1.35
    ">
    1.25
     }}">
    1.24
     ?>">
    1.23
    >
    1.21
    )}>
    1.20
    )">
    1.20
    "}}>
    1.18
    '}}>
    1.18
    }}>
    1.15
    Activations Density 0.090%

    No Known Activations