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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 3-GEMMASCOPE-RES-16K
    11. 2148
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    Explanations

    references to Italian culture and cuisine

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 3-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_3/width_16k/average_l0_59
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.3.hook_resid_post
    Hook Layer
    3
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Buildable
    -0.60
    ETHING
    -0.60
    cientos
    -0.57
     sabbia
    -0.57
    xuan
    -0.57
     '+':
    -0.57
     credere
    -0.56
    gage
    -0.55
    Poppy
    -0.55
     umana
    -0.54
    POSITIVE LOGITS
     Italy
    2.12
     Italian
    2.02
     Italians
    1.98
    Italy
    1.89
    Italian
    1.78
     italy
    1.77
     Itali
    1.77
     italian
    1.73
     Italien
    1.66
     ITALY
    1.64
    Activations Density 0.088%

    No Known Activations