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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. 15491
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    Explanations

    mentions of politeness and manners in societal contexts

    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
    <bos>
    -0.59
     пло
    -0.58
     पास
    -0.53
     parche
    -0.50
     encar
    -0.49
    Välislingid
    -0.49
     lona
    -0.49
     loved
    -0.48
    Polecam
    -0.48
     Loved
    -0.48
    POSITIVE LOGITS
     etiquette
    1.22
     Etiquette
    1.19
     polite
    1.11
     manners
    0.98
     politeness
    0.95
     politely
    0.92
     civility
    0.90
     Manners
    0.90
     courteous
    0.89
    polite
    0.88
    Activations Density 0.283%

    No Known Activations