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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. 49775
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    Explanations

    mentions of wide receivers and outfielders in sports contexts

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

    wide receiver

    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
     arcilla
    -0.50
     lumpur
    -0.49
     subterrá
    -0.48
     fund
    -0.48
    Nacimiento
    -0.44
     mármol
    -0.43
     institutions
    -0.42
     nén
    -0.42
     mud
    -0.42
     compression
    -0.42
    POSITIVE LOGITS
    SourceChecksum
    0.57
    ViewImports
    0.50
     disambiguazione
    0.47
     sayap
    0.47
     wings
    0.45
     winger
    0.41
    contentLoaded
    0.40
    PMailer
    0.40
     springfox
    0.40
    classnames
    0.40
    Activations Density 0.018%

    No Known Activations