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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. 2728
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    Explanations

    mentions of food, particularly cuisines and dishes

    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
    Not in Any Lists

    No Comments

    Negative Logits
    >{@
    -0.42
    PMailer
    -0.35
    endregion
    -0.34
    kleber
    -0.33
     acost
    -0.30
    ⓘ
    -0.30
     olvides
    -0.30
    таратура
    -0.30
    endif
    -0.28
    الحياه
    -0.28
    POSITIVE LOGITS
     Asian
    1.40
     asiatique
    1.38
     Asians
    1.34
    Asian
    1.27
     asian
    1.23
     Chinese
    1.23
     Chinatown
    1.20
     Cantonese
    1.16
     asiático
    1.13
     CHINESE
    1.13
    Activations Density 0.430%

    No Known Activations