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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 31-GEMMASCOPE-RES-16K
    11. 1588
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    Explanations

    elements related to fashion and trends

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

    fashion and clothing-related content, particularly descriptions of garments, styles, designers, and seasonal fashion trends.

    oai_token-act-pair · claude-4-5-haikuTriggered by @emiglarou

    fashion and design-related content, particularly mentions of designers, brands, collections, and style terminology.

    oai_token-act-pair · claude-4-5-sonnetTriggered by @jyhe0408

    mentions of fashion and style, including designers, collections, clothing items, and seasonal trend coverage.

    oai_token-act-pair · gpt-5Triggered by @jyhe0408
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 31-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_31/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.31.hook_resid_post
    Hook Layer
    31
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    الإنجليزية
    -0.58
    OGND
    -0.57
    WebServlet
    -0.50
    VersionUID
    -0.49
    IContainer
    -0.49
    endcsname
    -0.47
     spinach
    -0.47
    liferay
    -0.47
     wretch
    -0.46
     bundes
    -0.46
    POSITIVE LOGITS
     runway
    0.59
     runways
    0.48
     couture
    0.47
    installa
    0.42
     catwalk
    0.42
     luxury
    0.41
     cout
    0.41
     collaborations
    0.40
     куль
    0.40
     Dior
    0.39
    Activations Density 0.085%

    No Known Activations