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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 1136
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    Explanations

    references to clothing and attire in various contexts

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

    or phrases before "clothes" or related to clothes

    np_acts-logits-general · gemini-2.0-flash

    clothes

    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
     <=",
    -0.68
    ragalactic
    -0.58
    RegressionTest
    -0.58
     surla
    -0.54
    memoized
    -0.54
     صوتيه
    -0.53
     esternos
    -0.52
    scrapy
    -0.51
     venía
    -0.51
    FirebaseDatabase
    -0.50
    POSITIVE LOGITS
     clothes
    1.77
     dress
    1.74
     clothing
    1.70
     attire
    1.60
     costumes
    1.55
     costume
    1.51
     dresses
    1.45
     Dress
    1.43
     Clothes
    1.41
     gown
    1.41
    Activations Density 0.271%

    No Known Activations