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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. 1140
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    Explanations

    terms emphasizing size or scale, particularly the word "large."

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

    "large" followed by various nouns

    np_acts-logits-general · gemini-2.0-flash

    large scale

    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
     Autorizaciones
    -0.75
    XmlAccessorType
    -0.73
     végétale
    -0.73
     propOrder
    -0.71
     AssemblyTitle
    -0.68
    StructEnd
    -0.68
     préféré
    -0.66
     незавершена
    -0.66
    IANGLES
    -0.66
    IElement
    -0.65
    POSITIVE LOGITS
     enough
    0.95
     Low
    0.77
     High
    0.76
    Enough
    0.76
     Bad
    0.75
    enough
    0.74
    High
    0.72
     slow
    0.72
    Low
    0.72
    Bad
    0.68
    Activations Density 0.333%

    No Known Activations