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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 37-GEMMASCOPE-RES-16K
    11. 9032
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    Explanations

    references to the term "mil" or variations of it, indicating a focus on weights or measurements, potentially in an industrial or agricultural context

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 37-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_37/width_16k/average_l0_124
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.37.hook_resid_post
    Hook Layer
    37
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     InputDecoration
    -0.39
    konomi
    -0.38
    AddTagHelper
    -0.36
     Taktlose
    -0.34
    rófono
    -0.33
    ktive
    -0.31
     fast
    -0.31
    jatel
    -0.30
    éreo
    -0.30
     Pic
    -0.29
    POSITIVE LOGITS
    Mill
    0.67
    Mil
    0.66
     Mill
    0.65
     Mil
    0.64
     mill
    0.62
     MILL
    0.60
     Millie
    0.59
     MIL
    0.59
    mill
    0.55
    Mille
    0.54
    Activations Density 0.244%

    No Known Activations