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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 2-GEMMASCOPE-RES-16K
    11. 7140
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    Explanations

    references to furniture and equipment

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 2-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_2/width_16k/average_l0_67
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.2.hook_resid_post
    Hook Layer
    2
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    stdc
    -0.42
     Dist
    -0.35
     JADX
    -0.34
    迷
    -0.33
    清
    -0.32
    Dist
    -0.32
     Masson
    -0.31
    exc
    -0.31
    createTable
    -0.31
     deeply
    -0.31
    POSITIVE LOGITS
     furniture
    1.13
    furniture
    1.00
    Furniture
    0.99
     furn
    0.96
     Furniture
    0.95
     FURNITURE
    0.89
    furnished
    0.82
    furn
    0.81
     Möbel
    0.80
    Furn
    0.79
    Activations Density 0.072%

    No Known Activations