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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 14459
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    INDEX
    Explanations

    specific culinary descriptors associated with Italian cuisine

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    locations in Italy

    np_acts-logits-general · gemini-2.0-flash

    Italian cities and people

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_22/width_16k/average_l0_72
    Prompts (Dashboard)
    36,864 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
    Not in Any Lists

    No Comments

    Negative Logits
     Monfieur
    -1.09
     Majefty
    -0.94
     Efq
    -0.94
     Jefus
    -0.88
     myſelf
    -0.88
     Eſ
    -0.87
     Houſe
    -0.86
     Anſ
    -0.85
     Theſe
    -0.84
     titolata
    -0.84
    POSITIVE LOGITS
     Italian
    1.66
     Italy
    1.57
    Italian
    1.46
    Italy
    1.44
     Italians
    1.31
     italian
    1.30
     Italia
    1.25
     ITAL
    1.24
    italian
    1.21
     италья
    1.19
    Activations Density 0.404%

    No Known Activations