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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 9-GEMMASCOPE-RES-131K
    11. 99475
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    INDEX
    Explanations

    instances of the word "lug" and its variations

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

    lugging

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 9-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_131k/average_l0_121
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tableFuture
    -0.74
    ValueStyle
    -0.60
     Faure
    -0.53
     Faul
    -0.48
    verwijspagina
    -0.47
    isSuccessful
    -0.46
     Whyte
    -0.45
    Gemeinden
    -0.44
    SaveChangesAsync
    -0.44
    Getenv
    -0.43
    POSITIVE LOGITS
     lug
    2.30
     Lug
    2.23
    Lug
    2.05
     lugs
    1.70
    lug
    1.42
     Luggage
    0.90
     Lugano
    0.80
    Dug
    0.72
     luggage
    0.69
     Lugo
    0.66
    Activations Density 0.001%

    No Known Activations