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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 20-GEMMASCOPE-RES-131K
    11. 59479
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    Explanations

    references to types of pants and trousers

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

    pants, jeans, trousers

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 20-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_20/width_131k/average_l0_81
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.20.hook_resid_post
    Hook Layer
    20
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    UnknownFields
    -0.46
    核
    -0.45
    ContentLoaded
    -0.44
    Xna
    -0.42
    $_['
    -0.39
     Archangel
    -0.39
    Portail
    -0.38
    scriptId
    -0.38
     mergeFrom
    -0.38
    anguages
    -0.38
    POSITIVE LOGITS
     pants
    1.05
     Pants
    1.02
     trousers
    0.91
    pants
    0.90
    Pants
    0.85
     trouser
    0.75
     pantaloni
    0.75
     Trous
    0.74
    👖
    0.71
     celana
    0.70
    Activations Density 0.007%

    No Known Activations