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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 31-GEMMASCOPE-RES-131K
    11. 72557
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    INDEX
    Explanations

    references to amphibious vehicles and their specifications or capabilities

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

    vehicles and boats

    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
    Geographie
    -0.46
    labelledby
    -0.43
    quehanna
    -0.42
     programação
    -0.41
    dafx
    -0.41
     otomatig
    -0.40
     voeren
    -0.40
    ChildIndex
    -0.40
    mybatisplus
    -0.39
     desmotivaciones
    -0.38
    POSITIVE LOGITS
     vans
    0.64
     vehicles
    0.62
     buses
    0.62
     minibus
    0.61
     trucks
    0.58
    vehicles
    0.57
    mobile
    0.56
     tractor
    0.56
     boats
    0.55
     ambul
    0.55
    Activations Density 0.059%

    No Known Activations