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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 34-GEMMASCOPE-RES-16K
    11. 1695
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    Explanations

    various brands and products related to appliances and electronics, with a focus on quality and customer service

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 34-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_34/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.34.hook_resid_post
    Hook Layer
    34
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     intermediate
    -0.33
    OCCURRED
    -0.33
     eligibility
    -0.32
     Intermediate
    -0.31
     SqlParameter
    -0.31
     elementary
    -0.30
     input
    -0.30
    Buch
    -0.30
    archiviato
    -0.29
     induction
    -0.29
    POSITIVE LOGITS
     brand
    2.97
     brands
    2.88
    brand
    2.66
    brands
    2.48
     Brand
    2.44
    Brand
    2.41
    品牌
    2.36
     BRAND
    2.36
    Brands
    2.28
     Brands
    2.27
    Activations Density 0.284%

    No Known Activations