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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 5-GEMMASCOPE-RES-16K
    11. 8864
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    Explanations

    references to various types of bags and luggage

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 5-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_5/width_16k/average_l0_68
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.5.hook_resid_post
    Hook Layer
    5
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Monfieur
    -0.78
     myſelf
    -0.75
     houſe
    -0.69
     itſelf
    -0.69
    Tikang
    -0.69
     blasphemy
    -0.69
     himſelf
    -0.68
    DoubleQuotes
    -0.67
     themſelves
    -0.67
     endwhile
    -0.67
    POSITIVE LOGITS
     luggage
    1.25
     bags
    1.16
     suitcase
    1.16
     suitcases
    1.09
     Luggage
    1.08
     bag
    1.08
     backpack
    1.00
     backpacks
    0.99
     maleta
    0.98
     Bags
    0.93
    Activations Density 0.181%

    No Known Activations