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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 31-GEMMASCOPE-RES-131K
    11. 20934
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    Explanations

    components related to adjustable features and safety mechanisms in eyewear products

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

    legs, feet, and levelling

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 31-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_31/width_131k/average_l0_109
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.31.hook_resid_post
    Hook Layer
    31
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    stateProvider
    -0.45
    цездатний
    -0.40
    士
    -0.40
    énario
    -0.40
    WSGI
    -0.38
     orders
    -0.37
    PreferredItem
    -0.37
     للمعارف
    -0.37
     Orders
    -0.37
     препратки
    -0.36
    POSITIVE LOGITS
     picioare
    0.63
     disambiguazione
    0.57
     feet
    0.54
     Füße
    0.54
     leveling
    0.52
     legs
    0.52
     levelling
    0.50
     AssemblyCulture
    0.47
    Adjustable
    0.47
     Jahrh
    0.47
    Activations Density 0.014%

    No Known Activations