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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 13-GEMMASCOPE-RES-16K
    11. 4101
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    Explanations

    references to locations, particularly cities, with a strong focus on London

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 13-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_13/width_16k/average_l0_132
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.13.hook_resid_post
    Hook Layer
    13
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    ternut
    -0.47
    riturismo
    -0.46
    ValueGeneration
    -0.42
    logous
    -0.41
    tadır
    -0.41
    kuji
    -0.41
    abinieri
    -0.40
    ochial
    -0.40
     coupon
    -0.39
    iedler
    -0.39
    POSITIVE LOGITS
     London
    0.83
    ADELPHIA
    0.82
     Tokyo
    0.79
     Moscú
    0.77
    London
    0.76
     Moscow
    0.74
     Amsterdam
    0.73
     Chicago
    0.72
     Dublin
    0.71
     Londres
    0.71
    Activations Density 0.302%

    No Known Activations