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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 38-GEMMASCOPE-RES-16K
    11. 10802
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    Explanations

    references to fuel efficiency and vehicle specifications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 38-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_38/width_16k/average_l0_128
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.38.hook_resid_post
    Hook Layer
    38
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ddelweddau
    -0.45
     surla
    -0.42
    BagLayout
    -0.39
     Lightboxes
    -0.38
    clusal
    -0.36
    ushman
    -0.35
    vacy
    -0.35
    fris
    -0.35
    maketitle
    -0.34
     ajedrez
    -0.34
    POSITIVE LOGITS
     fuel
    2.52
     Fuel
    2.17
    Fuel
    2.06
    fuel
    2.05
     FUEL
    1.94
     fuels
    1.91
    FUEL
    1.76
    燃料
    1.73
     gasoline
    1.72
     fueling
    1.65
    Activations Density 0.366%

    No Known Activations