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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 2-GEMMASCOPE-RES-16K
    11. 11050
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    Explanations

    the concept of "wearing" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 2-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_2/width_16k/average_l0_67
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.2.hook_resid_post
    Hook Layer
    2
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    IntoConstraints
    -0.50
     соль
    -0.43
     ranking
    -0.40
    zke
    -0.40
     suicides
    -0.39
     Apu
    -0.39
     intram
    -0.39
     Trap
    -0.37
    省市镇
    -0.37
    Comic
    -0.36
    POSITIVE LOGITS
     wear
    0.95
     wore
    0.90
     wearing
    0.86
     wears
    0.85
     Wear
    0.82
    Wear
    0.77
     Wearing
    0.77
    wearing
    0.77
     worn
    0.75
    emit
    0.73
    Activations Density 0.127%

    No Known Activations