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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 7-GEMMASCOPE-RES-16K
    11. 7609
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    distinct food preparation methods and quantities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 7-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_7/width_16k/average_l0_69
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.7.hook_resid_post
    Hook Layer
    7
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Spoljašnje
    -0.48
     hijau
    -0.44
     Wikimedijinoj
    -0.43
     eccellente
    -0.43
    erno
    -0.42
    組
    -0.40
     often
    -0.40
    ineas
    -0.40
    êle
    -0.40
     météoro
    -0.40
    POSITIVE LOGITS
     transfieras
    0.90
    Tikang
    0.86
     disambiguazione
    0.82
     Chwiliwch
    0.78
     MainAxisSize
    0.77
    ()")
    0.75
    脚注の使い方
    0.75
     iconFacebook
    0.74
    __':
    0.74
    MENAFN
    0.70
    Activations Density 0.450%

    No Known Activations