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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 20-GEMMASCOPE-RES-131K
    11. 111730
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    Explanations

    references to transportation vehicles, specifically wagons and carriages

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 20-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_20/width_131k/average_l0_81
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.20.hook_resid_post
    Hook Layer
    20
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ellido
    -0.49
     hottest
    -0.41
     Syria
    -0.41
    FN
    -0.40
    ין
    -0.40
     Enix
    -0.40
     Texas
    -0.40
     EconPapers
    -0.40
     Shor
    -0.39
     Salmo
    -0.39
    POSITIVE LOGITS
     wagon
    0.88
     Wagon
    0.82
     trolley
    0.81
     carts
    0.79
     Trolley
    0.78
    Wagon
    0.77
     chariot
    0.77
     cart
    0.76
     wagons
    0.74
     stroller
    0.71
    Activations Density 0.012%

    No Known Activations