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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. 275
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    Explanations

    references to different types of cups and containers used in various contexts

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

    for receptacles or containers

    np_acts-logits-general · gemini-2.0-flash

    containers and vessels

    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
     intptr
    -0.62
     contextLoads
    -0.52
    \{\\
    -0.51
    alakip
    -0.50
    rungsseite
    -0.50
     кӀ
    -0.50
    Välislingid
    -0.49
    queryInterface
    -0.48
     бюдже
    -0.48
    thalene
    -0.47
    POSITIVE LOGITS
     containers
    0.58
     tableware
    0.57
     bowls
    0.57
     container
    0.56
     bowl
    0.55
     recipiente
    0.54
    容器
    0.54
    pperware
    0.54
     cups
    0.53
    containers
    0.50
    Activations Density 0.202%

    No Known Activations