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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 2-GEMMASCOPE-RES-16K
    11. 7227
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    references to specific sports teams, particularly those with the word "City" in their names

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 2-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_2/width_16k/average_l0_141
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.2.hook_resid_post
    Hook Layer
    2
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Geplaatst
    -0.72
    IndentedString
    -0.71
     <<<<<<<<<<<<<<
    -0.68
    crollView
    -0.66
     Roskov
    -0.64
    رائه
    -0.63
    parametrize
    -0.63
     JADX
    -0.62
    ônus
    -0.61
     snippetHide
    -0.60
    POSITIVE LOGITS
     City
    2.50
    City
    2.00
     CITY
    1.80
    CITY
    1.25
    シティ
    1.08
     シティ
    0.99
     Metropolis
    0.91
    city
    0.77
     Citi
    0.74
     Ciudad
    0.74
    Activations Density 0.143%

    No Known Activations