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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. 5859
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    INDEX
    Explanations

    descriptions of clothing and physical appearance

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

    Types of clothing

    np_acts-logits-general · gemini-2.0-flash

    clothing items and attire

    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
    httphttps
    -0.60
     createState
    -0.49
     disambiguazione
    -0.48
    +#+
    -0.45
    rawDesc
    -0.44
    TypedDataSet
    -0.43
     collectif
    -0.42
    WebVitals
    -0.42
    WaitGroup
    -0.41
     jScrollPane
    -0.41
    POSITIVE LOGITS
     wearing
    0.59
     dress
    0.53
     white
    0.53
     padded
    0.52
     shorts
    0.50
     baggy
    0.50
     jumpsuit
    0.49
     dressed
    0.48
     attire
    0.47
    पया
    0.47
    Activations Density 0.142%

    No Known Activations