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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 19-GEMMASCOPE-RES-16K
    11. 8717
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    Explanations

    references to wood and wooden materials

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 19-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_19/width_16k/average_l0_73
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.19.hook_resid_post
    Hook Layer
    19
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    protoimpl
    -0.95
     ProtoMessage
    -0.93
     تضيفلها
    -0.81
    IsContent
    -0.80
     Paus
    -0.79
     Réponses
    -0.78
     pleaſure
    -0.77
    HasAnnotation
    -0.77
    TargetException
    -0.77
     >=",
    -0.76
    POSITIVE LOGITS
     WOOD
    1.01
     Wood
    0.98
    Wood
    0.88
     Holz
    0.75
     wood
    0.74
     Woods
    0.71
    Woody
    0.69
    wood
    0.66
     Woody
    0.65
    木
    0.65
    Activations Density 0.124%

    No Known Activations