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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. 15795
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    Explanations

    keywords related to automotive industry terms, particularly focusing on vehicle specifications and characteristics

    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
    AlterField
    -0.64
    Życiorys
    -0.58
     onCancelled
    -0.58
    Biographie
    -0.56
     Sciento
    -0.55
     vettoriale
    -0.54
     تانيه
    -0.53
    ikko
    -0.52
     OMITBAD
    -0.52
    gameserver
    -0.49
    POSITIVE LOGITS
     automaker
    0.82
     styling
    0.76
     vehicle
    0.76
     SUV
    0.73
     vehicles
    0.73
    Styling
    0.70
     cars
    0.69
     Styling
    0.67
     Automobile
    0.67
     Ford
    0.66
    Activations Density 0.365%

    No Known Activations