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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. 15977
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    references to Asian and French cuisines

    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
    protoimpl
    -0.58
    ValueStyle
    -0.52
    rungsseite
    -0.52
     typelib
    -0.50
    erçe
    -0.50
    tagHelperRunner
    -0.50
    tonode
    -0.47
    azgo
    -0.44
     enthalpy
    -0.44
     Mittelpunkt
    -0.43
    POSITIVE LOGITS
    German
    0.82
     German
    0.81
    Japanese
    0.80
    Russian
    0.80
     Russian
    0.79
    Spanish
    0.78
    Italian
    0.78
    French
    0.77
     French
    0.77
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    0.77
    Activations Density 0.281%

    No Known Activations