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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. 5178
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    Explanations

    medical terminology related to spinal injuries and conditions

    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
    Not in Any Lists

    No Comments

    Negative Logits
    ⟬
    -0.52
     nahilalakip
    -0.45
     <=",
    -0.43
     caldera
    -0.43
     ویکی‌پدیا
    -0.42
    EReference
    -0.42
     <>",
    -0.41
    NegativeButton
    -0.40
     Einfluß
    -0.40
     klu
    -0.39
    POSITIVE LOGITS
     spinal
    1.15
     spine
    1.12
     Spinal
    1.01
     Spine
    1.01
     vertebrae
    1.00
     vertebral
    0.98
     vertebra
    0.93
    Spine
    0.93
     lumbar
    0.92
    spinal
    0.92
    Activations Density 0.366%

    No Known Activations