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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. 5759
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    proper nouns related to individuals and their backgrounds

    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
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    No Comments

    Negative Logits
     nød
    -0.75
     skolen
    -0.66
    verwijspagina
    -0.63
     hendes
    -0.63
     føl
    -0.63
    expandindo
    -0.63
    rungsseite
    -0.62
    gsmål
    -0.59
     endnu
    -0.59
     muligt
    -0.59
    POSITIVE LOGITS
     Norway
    1.14
     Norwegian
    1.13
    Norway
    1.04
     Oslo
    1.02
    Norwegian
    1.00
    Oslo
    0.93
     Noruega
    0.90
     Norwe
    0.86
     Norvège
    0.81
    挪
    0.69
    Activations Density 0.253%

    No Known Activations