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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 17-GEMMASCOPE-RES-16K
    11. 10256
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    Explanations

    references to table manners and the proper use of utensils

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 17-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_17/width_16k/average_l0_77
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.17.hook_resid_post
    Hook Layer
    17
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    RegressionTest
    -0.54
     Ladder
    -0.49
    JAKARTA
    -0.49
    shaft
    -0.47
     '\\;'
    -0.47
     Lovel
    -0.46
     виправивши
    -0.46
    wpi
    -0.46
    喘
    -0.46
     Archiproducts
    -0.45
    POSITIVE LOGITS
     tableware
    1.15
     cutlery
    1.06
     plates
    1.01
     waiter
    0.99
     tablecloth
    0.97
     chopsticks
    0.94
     waiters
    0.93
     serving
    0.92
     dining
    0.92
     plate
    0.92
    Activations Density 0.181%

    No Known Activations