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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 9724
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    Explanations

    scenes depicting relaxation, comfort, and enjoyment, often associated with leisure activities like drinking coffee or reading a book

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 9-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_9/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.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     usine
    -0.51
     anteriormente
    -0.51
    assment
    -0.50
     témo
    -0.48
     reconnaître
    -0.48
     Saal
    -0.47
     prz
    -0.47
     colère
    -0.47
     alltså
    -0.47
     forsø
    -0.47
    POSITIVE LOGITS
     relaxing
    0.74
    relax
    0.67
    شهاد
    0.66
     lounging
    0.66
     kaarangay
    0.62
     relax
    0.59
     sipping
    0.59
     chilled
    0.58
     crack
    0.58
    Relax
    0.58
    Activations Density 0.185%

    No Known Activations