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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 7-GEMMASCOPE-RES-16K
    11. 8199
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    references to the city of San Francisco and its various landmarks or qualities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 7-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_7/width_16k/average_l0_69
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.7.hook_resid_post
    Hook Layer
    7
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Roskov
    -1.06
     Widodo
    -0.95
     CreateTagHelper
    -0.91
    VIAF
    -0.90
    InjectAttribute
    -0.89
     Jokowi
    -0.89
     propOrder
    -0.88
     Asturias
    -0.86
     препратки
    -0.86
    WebVitals
    -0.86
    POSITIVE LOGITS
     San
    1.87
    San
    1.63
     san
    1.48
     SAN
    1.45
    san
    1.33
    SAN
    1.28
     Sandi
    1.19
     Sanford
    1.11
     Сан
    1.02
    ssan
    1.01
    Activations Density 0.048%

    No Known Activations