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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 13-GEMMASCOPE-RES-16K
    11. 10847
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    Explanations

    references to clothing and dress codes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 13-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_13/width_16k/average_l0_132
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.13.hook_resid_post
    Hook Layer
    13
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    理石
    -0.44
    ompok
    -0.41
     pasir
    -0.41
    edded
    -0.41
     スイーツ
    -0.41
    桌上
    -0.40
     snippetHide
    -0.39
    acana
    -0.39
    észet
    -0.39
    fillText
    -0.38
    POSITIVE LOGITS
     wear
    0.93
     wearing
    0.93
     clothing
    0.90
     dress
    0.89
     clothes
    0.87
     kleding
    0.86
     garments
    0.84
     attire
    0.82
     wears
    0.81
     worn
    0.79
    Activations Density 0.384%

    No Known Activations