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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 8652
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    keywords related to furniture and shipping policies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_22/width_16k/average_l0_123
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    VYMaps
    -0.49
    flexDirection
    -0.42
    esez
    -0.40
     disciplina
    -0.39
     atlik
    -0.39
     Braga
    -0.38
     redacción
    -0.38
    zzleHttp
    -0.38
    BeforeMethod
    -0.38
    karang
    -0.38
    POSITIVE LOGITS
     furniture
    0.78
     Furniture
    0.74
    Furniture
    0.72
    furniture
    0.68
     Möbel
    0.64
     Ikea
    0.60
    家具
    0.59
     IKEA
    0.58
     furnishings
    0.56
     FURNITURE
    0.56
    Activations Density 0.062%

    No Known Activations