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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 0-GEMMASCOPE-RES-16K
    11. 5048
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    Explanations

    references to the word "mil" and its variations, indicating a focus on measurement or quantity terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 0-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_0/width_16k/average_l0_129
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.0.hook_resid_post
    Hook Layer
    0
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Мексичка
    -0.76
     Infórmanos
    -0.73
     desmotivaciones
    -0.67
     MainAxisSize
    -0.65
    帖最后由
    -0.63
     zijne
    -0.63
     vectorielle
    -0.63
     wikipagina
    -0.62
     ویکی‌پدی
    -0.62
    httphttps
    -0.60
    POSITIVE LOGITS
     Mil
    1.40
     mil
    1.39
     Mill
    1.34
    Mill
    1.26
    Mil
    1.25
     mill
    1.23
     MILL
    1.18
    mill
    1.14
    mil
    1.10
     Milli
    1.05
    Activations Density 0.192%

    No Known Activations