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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. 109197
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    Explanations

    proper nouns, specifically names of people and teams in sports contexts

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

    athlete surnames

    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
    PyExc
    -0.57
    reactstrap
    -0.55
    
    -0.48
    galo
    -0.47
    fromnode
    -0.46
     posta
    -0.45
     AssemblyVersion
    -0.44
    wijl
    -0.43
    inary
    -0.43
    WireFormat
    -0.43
    POSITIVE LOGITS
    Aholisi
    0.46
    发表于
    0.44
    enterOuterAlt
    0.43
    riezmann
    0.42
     surla
    0.40
    IndentedString
    0.38
    ProductName
    0.38
    Zeneca
    0.38
     Año
    0.35
    kjø
    0.35
    Activations Density 0.019%

    No Known Activations