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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 34-GEMMASCOPE-RES-16K
    11. 4241
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    references to notable individuals, particularly in the sports and entertainment sectors

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 34-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_34/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.34.hook_resid_post
    Hook Layer
    34
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    
    -0.51
    hamshire
    -0.40
     Fresno
    -0.38
    ніципалі
    -0.36
    BeginContext
    -0.36
     proj
    -0.36
     nahilalakip
    -0.35
    Архівовано
    -0.35
     pán
    -0.35
    tilhar
    -0.35
    POSITIVE LOGITS
     Chelsea
    0.86
    Chelsea
    0.81
    chelsea
    0.69
     propOrder
    0.65
     chelsea
    0.64
     Stamford
    0.60
     Lampard
    0.58
     Blues
    0.58
     Sloane
    0.56
     Tuchel
    0.55
    Activations Density 0.202%

    No Known Activations