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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 16k
    9. 20-GEMMASCOPE-RES-16K
    11. 10314
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    Explanations

    references to football players and their performance statistics

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

    "Wide receiver" or "Senator"

    np_acts-logits-general · gemini-2.0-flash

    wide receiver, senator

    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-16k
    Configuration
    google/gemma-scope-9b-it-res/layer_20/width_16k/average_l0_91
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    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
     EconPapers
    -0.52
    Lähteet
    -0.49
    webElementXpaths
    -0.48
     pinulongan
    -0.48
     subterrá
    -0.47
    を押
    -0.45
     lemn
    -0.45
    Geplaatst
    -0.45
    Rhestr
    -0.44
     vientre
    -0.44
    POSITIVE LOGITS
     wings
    0.56
    ViewImports
    0.49
     sayap
    0.49
     wing
    0.47
    othelioma
    0.46
     senator
    0.45
     senador
    0.44
    prefixer
    0.43
    Senator
    0.43
     Senator
    0.43
    Activations Density 0.603%

    No Known Activations