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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 9925
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    Explanations

    information related to new car features and specifications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    Follows numbers or abbreviations

    np_acts-logits-general · gemini-2.0-flash

    new generation cars

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_22/width_16k/average_l0_72
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     itſelf
    -0.85
    存于互联网档案馆
    -0.78
     myſelf
    -0.78
     Monfieur
    -0.77
    WireFormatLite
    -0.77
    出版年
    -0.76
    Personendaten
    -0.75
     Reſ
    -0.74
     continúas
    -0.73
     Jefus
    -0.72
    POSITIVE LOGITS
     BMW
    0.78
     Ford
    0.77
     Honda
    0.74
     Toyota
    0.72
     Camry
    0.70
     Mustang
    0.69
     Nissan
    0.68
     MacBook
    0.68
     Audi
    0.66
     Camaro
    0.66
    Activations Density 0.418%

    No Known Activations