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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. 12319
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    INDEX
    Explanations

    references to the clothing industry and related concepts

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

    before or related to clothing and fashion

    np_acts-logits-general · gemini-2.0-flash

    clothing and shopping

    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
    Not in Any Lists

    No Comments

    Negative Logits
    ingual
    -0.57
    кипедия
    -0.55
    IsMutable
    -0.55
    protoc
    -0.54
     didReceive
    -0.53
    bazel
    -0.53
    useNewUrlParser
    -0.53
    IContainer
    -0.53
     noDo
    -0.53
    ApiModelProperty
    -0.53
    POSITIVE LOGITS
     clothing
    1.57
     fashion
    1.51
     clothes
    1.45
     garments
    1.43
     garment
    1.40
     wardrobe
    1.35
     dress
    1.32
     Fashion
    1.30
     dresses
    1.30
     apparel
    1.27
    Activations Density 0.407%

    No Known Activations