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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 10-GEMMASCOPE-RES-16K
    11. 2860
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    Explanations

    references to airlines and airport operations

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 10-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_10/width_16k/average_l0_113
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.10.hook_resid_post
    Hook Layer
    10
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     يتيمه
    -0.57
    httphttps
    -0.49
     nahilalakip
    -0.43
    ########.
    -0.42
    başı
    -0.41
    createCanvas
    -0.41
     Wikimedijinoj
    -0.40
     defaultstate
    -0.40
     Wassers
    -0.39
    SourceChecksum
    -0.39
    POSITIVE LOGITS
     airline
    0.66
     Airline
    0.63
    anair
    0.60
     Airlines
    0.59
     airlines
    0.57
    Airline
    0.54
    airline
    0.52
     Ryanair
    0.50
    Airlines
    0.49
    thansa
    0.48
    Activations Density 0.255%

    No Known Activations