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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. 13503
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    Explanations

    references to speed and efficiency

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

    Followed by the word "quick"

    np_acts-logits-general · gemini-2.0-flash

    "Quick" followed by a word

    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
     للاسماء
    -0.86
    WebElementEntity
    -0.79
    LabelTagHelper
    -0.67
    InputBorder
    -0.67
    subpackage
    -0.65
    WriteBarrier
    -0.64
    AndEndTag
    -0.63
     تانيه
    -0.62
    principalColumn
    -0.62
    ثيق
    -0.62
    POSITIVE LOGITS
     chóng
    0.78
     turnaround
    0.72
     paced
    0.72
    ening
    0.68
    ness
    0.67
    ened
    0.64
     Quick
    0.64
     pace
    0.63
    lime
    0.63
     snabb
    0.61
    Activations Density 0.095%

    No Known Activations