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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 16-GEMMASCOPE-RES-16K
    11. 9774
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    Explanations

    descriptors related to speed and efficiency in processes

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

    "Fast" or "rapid" followed by a related term

    np_acts-logits-general · gemini-2.0-flash

    speed and quickness

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 16-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_16/width_16k/average_l0_78
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.16.hook_resid_post
    Hook Layer
    16
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ModelExpression
    -0.95
     للاسماء
    -0.83
    ItemBackground
    -0.81
    rawDesc
    -0.80
    bootstrapcdn
    -0.77
    enumi
    -0.76
    ########.
    -0.73
     createState
    -0.70
    ArgsConstructor
    -0.69
     AssemblyTitle
    -0.67
    POSITIVE LOGITS
     FAST
    1.04
     Quick
    1.00
     fast
    1.00
     quick
    0.99
    FAST
    0.99
     Rapid
    0.96
     QUICK
    0.94
     Fast
    0.94
    Rapid
    0.93
    Quick
    0.92
    Activations Density 0.186%

    No Known Activations