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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 33-GEMMASCOPE-RES-16K
    11. 4803
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    Explanations

    references to waste management and disposal

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 33-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_33/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.33.hook_resid_post
    Hook Layer
    33
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    DrawerToggle
    -0.43
    gridx
    -0.42
     GenerationType
    -0.40
    Strongly
    -0.35
    Rys
    -0.35
     Obtén
    -0.35
    SuppressLint
    -0.34
    Spoljašnje
    -0.31
    Sum
    -0.31
     кур
    -0.31
    POSITIVE LOGITS
     disposal
    0.77
     Waste
    0.76
     Disposal
    0.74
     WASTE
    0.73
    Waste
    0.72
    Disposal
    0.71
     waste
    0.68
     DISPOSAL
    0.68
    waste
    0.65
     dump
    0.62
    Activations Density 0.196%

    No Known Activations