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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 24-GEMMASCOPE-RES-16K
    11. 11877
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    Explanations

    quantities related to large groups of people or amounts of money

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

    Quantities in the hundreds, thousands, or millions

    np_acts-logits-general · gemini-2.0-flash

    quantities followed by of

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 24-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_24/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.24.hook_resid_post
    Hook Layer
    24
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     MonoBehaviour
    -0.47
    참고
    -0.46
    klima
    -0.41
    msgTypes
    -0.41
    MemoryWarning
    -0.40
    batore
    -0.40
    員
    -0.39
    fellow
    -0.39
     AppCompatTheme
    -0.39
    urator
    -0.39
    POSITIVE LOGITS
     thousands
    1.00
    thousands
    0.93
     hundreds
    0.93
    Thousands
    0.90
     Thousands
    0.90
     millions
    0.88
     Hundreds
    0.85
    ousands
    0.83
    hundreds
    0.82
     dozens
    0.82
    Activations Density 0.132%

    No Known Activations