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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 18-GEMMASCOPE-RES-16K
    11. 13887
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    Explanations

    references to clothing and apparel, particularly focusing on types of pants and jeans

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

    Clothing items, especially jeans or pants

    np_acts-logits-general · gemini-2.0-flash

    jeans and pants

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 18-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_18/width_16k/average_l0_74
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.18.hook_resid_post
    Hook Layer
    18
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     alimentare
    -0.57
    Vorlage
    -0.55
    templateUrl
    -0.51
     encom
    -0.51
    før
    -0.49
     Barbuda
    -0.49
     interceptions
    -0.47
    almaz
    -0.46
     Covers
    -0.45
    maske
    -0.45
    POSITIVE LOGITS
     jeans
    1.13
     Jeans
    1.03
     denim
    0.97
    jeans
    0.90
    Jeans
    0.86
     Denim
    0.86
    👖
    0.83
     jean
    0.83
     pants
    0.83
    denim
    0.78
    Activations Density 0.073%

    No Known Activations