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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 30-GEMMASCOPE-RES-16K
    11. 10112
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    Explanations

    terms associated with Roman references and phrases

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

    starting with "Rom" or "Ram"

    np_acts-logits-general · gemini-2.0-flash

    Roman Catholic, Empire, Romantics

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 30-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_30/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.30.hook_resid_post
    Hook Layer
    30
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    calientes
    -0.40
    ositol
    -0.39
     CommonModule
    -0.38
    sira
    -0.37
    ollectionView
    -0.37
     Beaches
    -0.36
    lyon
    -0.36
     SEA
    -0.34
    Seine
    -0.34
     amalgam
    -0.34
    POSITIVE LOGITS
     Rom
    0.64
    ValueStyle
    0.57
     Ram
    0.56
    Rom
    0.52
     Roman
    0.52
     ROM
    0.50
    istoitu
    0.50
    Carriera
    0.49
     ram
    0.49
     rom
    0.49
    Activations Density 0.114%

    No Known Activations