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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 14
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    INDEX
    Explanations

    references to sewing and the clothing industry, particularly in relation to quality and consumer behavior

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot

    low cost, buying, and alternatives

    np_acts-logits-general · gemini-2.0-flash

    cheap goods

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_22/width_16k/average_l0_72
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    awtextra
    -0.70
     aboli
    -0.59
    setVerticalGroup
    -0.58
    OGND
    -0.57
    Portály
    -0.50
     noexcept
    -0.48
     situada
    -0.47
    GEBURTSDATUM
    -0.47
    DataAnnotations
    -0.45
    gesterone
    -0.44
    POSITIVE LOGITS
     cheap
    1.50
     cheaply
    1.38
     commercially
    1.35
     cheaper
    1.30
     inexpensive
    1.24
     commercial
    1.24
    cheap
    1.16
     generic
    1.11
    Cheap
    1.11
     brands
    1.10
    Activations Density 0.335%

    No Known Activations