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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 6-GEMMASCOPE-RES-16K
    11. 3211
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    references to specific brands and companies, particularly in the context of retail and computing

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 6-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_6/width_16k/average_l0_70
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.6.hook_resid_post
    Hook Layer
    6
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     kaarangay
    -0.87
     Paglinawan
    -0.74
    verwijspagina
    -0.70
    
    -0.66
    rungsseite
    -0.65
    <bos>
    -0.65
     judiciales
    -0.64
     nahilalakip
    -0.63
    StructEnd
    -0.61
     løs
    -0.59
    POSITIVE LOGITS
    riwal
    0.63
     SpaceX
    0.57
    mutlich
    0.55
     Costco
    0.53
     Buffett
    0.53
     AppComponent
    0.51
     ikea
    0.50
     Fermi
    0.50
    tesla
    0.48
    Tesla
    0.48
    Activations Density 0.703%

    No Known Activations