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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 2-GEMMASCOPE-RES-16K
    11. 629
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    Explanations

    brands and models of vehicles, particularly focusing on popular manufacturers and their products

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 2-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_2/width_16k/average_l0_141
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.2.hook_resid_post
    Hook Layer
    2
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    httphttps
    -0.73
    存于互联网档案馆
    -0.71
    iNdEx
    -0.71
    RuleContext
    -0.69
    HandlerContext
    -0.68
    новниш
    -0.67
     становника
    -0.66
    adaptiveStyles
    -0.66
     AttributeSet
    -0.65
     &___
    -0.65
    POSITIVE LOGITS
     Ford
    1.82
     Toyota
    1.67
    Ford
    1.57
     Volkswagen
    1.56
     Honda
    1.54
     Nissan
    1.49
     BMW
    1.46
     FORD
    1.46
     Chevrolet
    1.43
    Toyota
    1.42
    Activations Density 0.136%

    No Known Activations