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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 36-GEMMASCOPE-RES-16K
    11. 10997
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    identifiers represented by a specific format within a structured dataset

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 36-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_36/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.36.hook_resid_post
    Hook Layer
    36
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
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     Italijanski
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     ComVisible
    -0.59
    +#+
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     AspNetCore
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    ⓧ
    -0.54
     незавершена
    -0.51
     ویکی‌پدی
    -0.50
    PyExc
    -0.50
    Jereo
    -0.50
    endpush
    -0.50
    POSITIVE LOGITS
     normalidad
    0.50
     intensidad
    0.41
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    0.40
    IBarButtonItem
    0.39
     incertidumbre
    0.39
     máscara
    0.39
     burbuja
    0.38
    vejec
    0.38
     rutina
    0.38
     aspetta
    0.37
    Activations Density 0.745%

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