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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. 50519
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    Explanations

    occurrences of the name "Chelsea" and related identifiers in the context of football or soccer

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

    Chelsea

    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
     wireType
    -0.53
    MeasureSpec
    -0.42
    sizeCache
    -0.41
     Allegheny
    -0.39
     Sixers
    -0.39
    コメ
    -0.39
    multicolumn
    -0.38
    Phân
    -0.38
    τως
    -0.38
     row
    -0.38
    POSITIVE LOGITS
     Chelsea
    1.30
    Chelsea
    1.23
     chelsea
    1.03
    chelsea
    0.85
    Zeneca
    0.72
     Stamford
    0.69
     GenerationType
    0.64
     Tuchel
    0.62
    <bos>
    0.60
     Londra
    0.57
    Activations Density 0.003%

    No Known Activations