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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 33-GEMMASCOPE-RES-16K
    11. 6263
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    specific names of characters and contributors in a narrative context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 33-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_33/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.33.hook_resid_post
    Hook Layer
    33
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     defaultstate
    -0.47
     Paglinawan
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     initComponents
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    rrggbb
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    cars
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    +:+
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    putan
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    vidad
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    TypedDataSet
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    ennemi
    -0.38
    POSITIVE LOGITS
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    0.44
     Савезне
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     Ante
    0.36
     RestTemplate
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    Ante
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     informée
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     turísticos
    0.33
    OpenHelper
    0.33
    transQ
    0.32
     referrerpolicy
    0.32
    Activations Density 0.702%

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