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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 14-GEMMASCOPE-RES-16K
    11. 8437
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    Explanations

    mentions of the term "Wood" and related materials

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 14-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_14/width_16k/average_l0_84
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.14.hook_resid_post
    Hook Layer
    14
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Datuak
    -0.82
    protoimpl
    -0.79
    iParam
    -0.79
    NameInMap
    -0.77
     Halsey
    -0.77
    DispatchToProps
    -0.77
     GTI
    -0.75
     iParam
    -0.75
     Tali
    -0.75
     ActionListener
    -0.73
    POSITIVE LOGITS
     WOOD
    1.08
     Wood
    1.05
     Woodward
    0.97
    Wood
    0.95
     Woods
    0.91
    WOOD
    0.90
     Studio
    0.88
    RegressionTest
    0.82
    Studio
    0.81
     Devan
    0.80
    Activations Density 0.175%

    No Known Activations