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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. 7141
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    Explanations

    references to the concept of "bearing" or "carrying" burdens, responsibilities, or relationships

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

    "bear" or related forms

    np_acts-logits-general · gemini-2.0-flash

    bear

    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
    adaptiveStyles
    -0.80
    httphttps
    -0.78
    XmlAccessType
    -0.75
    amation
    -0.73
     pinulongan
    -0.73
    jago
    -0.72
    strophy
    -0.72
     незавершена
    -0.71
     jadx
    -0.70
     通販
    -0.68
    POSITIVE LOGITS
     bear
    1.48
     bears
    1.47
     Bear
    1.36
    Bear
    1.36
     BEAR
    1.35
    bear
    1.34
     Bears
    1.25
    BEAR
    1.14
    bears
    1.09
     bearing
    1.04
    Activations Density 0.056%

    No Known Activations