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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 30-GEMMASCOPE-RES-16K
    11. 14383
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    INDEX
    Explanations

    descriptions of clothing items and their qualities

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

    Types of suits and shirts

    np_acts-logits-general · gemini-2.0-flash

    clothing including suits and coats

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 30-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_30/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.30.hook_resid_post
    Hook Layer
    30
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     resourceCulture
    -0.55
     vaginal
    -0.46
     campe
    -0.45
    謗
    -0.45
     createState
    -0.45
     vagina
    -0.44
     PeEnEo
    -0.41
     panties
    -0.41
     EconPapers
    -0.41
     AssemblyCulture
    -0.40
    POSITIVE LOGITS
    西装
    0.64
     dapper
    0.63
     suit
    0.60
    スーツ
    0.59
     Suit
    0.59
     tuxedo
    0.58
    Suits
    0.57
     Suits
    0.57
     kemeja
    0.57
     suits
    0.55
    Activations Density 0.107%

    No Known Activations