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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 31-GEMMASCOPE-RES-16K
    11. 13571
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    Explanations

    references to clothing and apparel items, especially those that highlight layering and warmth

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

    words related to clothing items and textiles, particularly descriptive terms for fabrics and garment types.

    oai_token-act-pair · claude-4-5-haikuTriggered by @emiglarou
    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
     koszulka
    -0.58
     bluzka
    -0.54
    TypedDataSet
    -0.54
    ConstraintMaker
    -0.50
    SharedDtor
    -0.49
    camisetas
    -0.46
     ショーツ
    -0.45
    koszulka
    -0.45
    sukienka
    -0.43
    qtype
    -0.42
    POSITIVE LOGITS
     coats
    1.00
     hooded
    0.94
     coat
    0.94
     jackets
    0.88
     jacket
    0.88
     hood
    0.83
     winter
    0.82
     outerwear
    0.82
     parka
    0.82
     Coat
    0.80
    Activations Density 0.095%

    No Known Activations