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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 6-GEMMASCOPE-RES-16K
    11. 13712
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    Explanations

    food items and dishes, particularly focusing on spicy and Asian cuisine

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 6-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_6/width_16k/average_l0_70
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.6.hook_resid_post
    Hook Layer
    6
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     مرئيه
    -0.84
    IntoConstraints
    -0.78
     nahilalakip
    -0.74
    CppCodeGen
    -0.71
    ]--;
    -0.70
    ReusableCell
    -0.70
     Wikimedijinoj
    -0.70
    blox
    -0.70
    脚注の使い方
    -0.69
     initComponents
    -0.68
    POSITIVE LOGITS
     chili
    0.96
     Chili
    0.96
     pepper
    0.93
     spice
    0.90
    Chili
    0.90
    🌶
    0.89
     pimenta
    0.87
     Pepper
    0.87
     chilli
    0.87
     spicy
    0.85
    Activations Density 0.372%

    No Known Activations