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    1. Home
    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-2B
    4. Residual Stream - 16k
    5. 19-GEMMASCOPE-RES-16K
    6. 3122
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    INDEX
    Explanations

    automobile brands and their models mentioned in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 19-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_19/width_16k/average_l0_73
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.19.hook_resid_post
    Hook Layer
    19
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    InitStruct
    -0.69
     disambiguazione
    -0.69
    estacks
    -0.66
    enschappelijke
    -0.65
    SBATCH
    -0.65
    Rhestr
    -0.62
     >=",
    -0.61
     protoimpl
    -0.60
     nhiêu
    -0.60
     AssemblyProduct
    -0.59
    POSITIVE LOGITS
     sedan
    0.79
     hatchback
    0.62
     Sedan
    0.61
     sed
    0.61
     Civic
    0.57
     Camry
    0.54
     Chevy
    0.53
     car
    0.53
     Honda
    0.52
     van
    0.52
    Activations Density 0.161%

    No Known Activations