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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. 4692
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    Explanations

    references to cosmetic procedures and aging

    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
    BeginInit
    -0.59
    bootstrapcdn
    -0.57
    httphttps
    -0.56
     Савезне
    -0.56
     Roskov
    -0.55
    曖昧さ回避
    -0.53
    onViewCreated
    -0.53
     ModelRenderer
    -0.51
    ymce
    -0.51
     Meksiku
    -0.50
    POSITIVE LOGITS
     wrinkles
    0.77
     aging
    0.70
     sagging
    0.63
     ageing
    0.63
     envejec
    0.60
     wrinkle
    0.58
     age
    0.55
     frown
    0.55
     sag
    0.54
     vieill
    0.54
    Activations Density 0.137%

    No Known Activations