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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 33-GEMMASCOPE-RES-16K
    11. 400
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    references to molecular biology processes related to cancer

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 33-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_33/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.33.hook_resid_post
    Hook Layer
    33
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     kasarigan
    -0.73
    Спасылкі
    -0.58
     idéia
    -0.55
     Einfluß
    -0.50
    المناصب
    -0.48
     nonUne
    -0.47
    StoryboardSegue
    -0.47
    faßt
    -0.46
    новништво
    -0.46
     läßt
    -0.46
    POSITIVE LOGITS
     CRISPR
    0.59
     autophagy
    0.56
     infla
    0.54
     microbiome
    0.54
    SpringBootTest
    0.50
     NLR
    0.50
     epigenetic
    0.49
    StandardCharsets
    0.49
    ariatric
    0.49
     epig
    0.49
    Activations Density 3.810%

    No Known Activations