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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 7-GEMMASCOPE-RES-16K
    11. 16123
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    Explanations

    references to the concept of bearing or carrying burdens

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 7-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_7/width_16k/average_l0_69
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.7.hook_resid_post
    Hook Layer
    7
    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
    -0.91
    chitis
    -0.81
     تانيه
    -0.80
     Chapin
    -0.74
    velser
    -0.74
    ptonshire
    -0.73
     errand
    -0.72
     Andrzej
    -0.71
    ContentAsync
    -0.71
    xie
    -0.66
    POSITIVE LOGITS
     bears
    2.11
     bear
    2.00
     BEAR
    1.88
     Bear
    1.88
    bear
    1.87
    Bear
    1.86
     Bears
    1.84
     bearing
    1.61
    BEAR
    1.57
    Bears
    1.55
    Activations Density 0.081%

    No Known Activations