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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 37-GEMMASCOPE-RES-16K
    11. 1250
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    elements of academic research structure and methodology

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 37-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_37/width_16k/average_l0_124
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.37.hook_resid_post
    Hook Layer
    37
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    InstrumentedTest
    -0.48
    Kjelder
    -0.47
    tagext
    -0.45
     Autorizaciones
    -0.44
     ujednoznacz
    -0.43
     ✭✭
    -0.43
     przecież
    -0.43
    Зноскі
    -0.41
    saraba
    -0.41
     חיצוניים
    -0.40
    POSITIVE LOGITS
     challenges
    1.31
     implications
    1.16
     trends
    1.14
     opportunities
    1.07
     prospects
    1.04
    challenges
    1.03
     obstacles
    0.98
     lessons
    0.97
    Challenges
    0.96
     Challenges
    0.95
    Activations Density 0.661%

    No Known Activations