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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 10149
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    Explanations

    details regarding automotive incidents, including vehicle descriptions and brands

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_23/width_16k/average_l0_75
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    WireFormatLite
    -0.68
     ſche
    -0.59
    الحياه
    -0.56
    Havolalar
    -0.55
    iNdEx
    -0.53
     Reſ
    -0.52
    исленность
    -0.52
     fevere
    -0.51
     disambiguazione
    -0.50
    存于互联网档案馆
    -0.49
    POSITIVE LOGITS
     Ford
    1.36
     Nissan
    1.29
     BMW
    1.28
     Dodge
    1.24
     Toyota
    1.23
     Honda
    1.22
     Audi
    1.22
     Mercedes
    1.16
     Volkswagen
    1.13
     Chevrolet
    1.13
    Activations Density 0.288%

    No Known Activations