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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 31-GEMMASCOPE-RES-131K
    11. 69822
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    Explanations

    references to seasonal fashion trends and styles

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

    fashion and style trends

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 31-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_31/width_131k/average_l0_109
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    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
    webElement
    -0.63
    RegressionTest
    -0.60
     <>",
    -0.60
    __":
    -0.59
    UnusedPrivate
    -0.59
    verwijspagina
    -0.58
    providedIn
    -0.57
    InitVars
    -0.56
    complexContent
    -0.55
    enterOuterAlt
    -0.54
    POSITIVE LOGITS
     fashion
    1.66
     Fashion
    1.44
    fashion
    1.42
    Fashion
    1.41
     FASHION
    1.28
    FASHION
    1.15
     fashionable
    1.14
     fashions
    1.11
     style
    1.06
    ファッション
    1.05
    Activations Density 0.037%

    No Known Activations