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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. 6980
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    elements of systematic literature review processes

    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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    Negative Logits
     يتيمه
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    ipheral
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    ️
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     ſei
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    ſſung
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    ⁹
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    ۜ
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     emojis
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     bloggers
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     ſelbſt
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    POSITIVE LOGITS
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    sidemargin
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    LookAnd
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    NamedQueries
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     AssemblyTitle
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     okresie
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     AssemblyCulture
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    Activations Density 1.012%

    No Known Activations