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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 25-GEMMASCOPE-RES-16K
    11. 6438
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    Explanations

    references to specific Ford car models and their attributes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 25-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_25/width_16k/average_l0_116
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.25.hook_resid_post
    Hook Layer
    25
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    出版年
    -0.66
     Canna
    -0.61
     BoxFit
    -0.61
     Vasily
    -0.56
    DOCTYPE
    -0.54
     Nani
    -0.54
    HexString
    -0.52
     Berner
    -0.52
    Tembelea
    -0.50
    Canna
    -0.49
    POSITIVE LOGITS
     Ford
    1.34
    Ford
    1.23
     Mustang
    1.12
     FORD
    1.12
     ford
    1.03
    Mustang
    0.95
     SVT
    0.93
     mustang
    0.91
     Mustangs
    0.91
     Focus
    0.87
    Activations Density 0.130%

    No Known Activations