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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 15-GEMMASCOPE-RES-16K
    11. 6339
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    INDEX
    Explanations

    phrases indicating a relationship between quantity and quality in various contexts

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 15-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_15/width_16k/average_l0_131
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.15.hook_resid_post
    Hook Layer
    15
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     Chwiliwch
    -0.83
    цездатний
    -0.83
     queſta
    -0.73
    StructEnd
    -0.71
    MLLoader
    -0.71
    ImageContext
    -0.70
     للمعارف
    -0.67
    رشف
    -0.66
     beſch
    -0.64
    ⟬
    -0.62
    POSITIVE LOGITS
    越是
    0.33
    Cuánto
    0.33
     Quanto
    0.33
     Чем
    0.33
     càng
    0.33
     returns
    0.32
     you
    0.32
     越
    0.32
    ↵
    0.31
    越多
    0.31
    Activations Density 0.199%

    No Known Activations