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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 35-GEMMASCOPE-RES-16K
    11. 5946
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    terms related to the aviation industry and commercial air travel

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 35-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_35/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.35.hook_resid_post
    Hook Layer
    35
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rawQuery
    -0.40
    chaffenheit
    -0.36
    pulsera
    -0.35
     Gemü
    -0.35
     bénévol
    -0.34
    cemment
    -0.34
     sayuran
    -0.33
     كورة
    -0.33
     móveis
    -0.32
     насељу
    -0.32
    POSITIVE LOGITS
     flight
    2.69
     flights
    2.39
     Flight
    2.36
     flying
    2.28
    Flight
    2.25
    flight
    2.23
     aviation
    2.19
     aircraft
    2.16
     airplane
    2.16
     airline
    2.14
    Activations Density 0.660%

    No Known Activations