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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 33-GEMMASCOPE-RES-16K
    11. 944
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    specific names and references, likely to individuals or notable cultural figures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 33-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_33/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.33.hook_resid_post
    Hook Layer
    33
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    
    -0.39
     Fresno
    -0.37
     proj
    -0.34
     Manley
    -0.32
     Pan
    -0.31
     Kris
    -0.31
    BeginContext
    -0.31
     Winnipeg
    -0.31
     Preston
    -0.31
     riso
    -0.30
    POSITIVE LOGITS
     Chelsea
    0.90
    Chelsea
    0.87
     propOrder
    0.82
    chelsea
    0.76
     Blues
    0.70
     chelsea
    0.68
    Blues
    0.66
     blues
    0.63
     Stamford
    0.62
     Tuchel
    0.62
    Activations Density 0.152%

    No Known Activations