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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 24-GEMMASCOPE-RES-16K
    11. 2697
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    INDEX
    Explanations

    descriptions of dress codes and attire appropriateness

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    relating to clothing or attire

    np_acts-logits-general · gemini-2.0-flash

    fancy dresses for office mourning

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 24-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_24/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.24.hook_resid_post
    Hook Layer
    24
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ModelExpression
    -0.64
    webElementXpaths
    -0.47
     ricar
    -0.46
    onViewCreated
    -0.45
    haikusbot
    -0.45
    setVerticalGroup
    -0.44
     <>",
    -0.44
    efficient
    -0.42
    ellites
    -0.42
     Oversight
    -0.42
    POSITIVE LOGITS
     dress
    0.90
     wardrobe
    0.84
     attire
    0.83
     wearing
    0.82
     clothing
    0.82
     outfits
    0.80
     costume
    0.79
     kleding
    0.77
     fashion
    0.76
     costumes
    0.73
    Activations Density 0.229%

    No Known Activations