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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 15-GEMMASCOPE-RES-16K
    11. 2468
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    elements related to hospitalization and patient care

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 15-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_15/width_16k/average_l0_131
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.15.hook_resid_post
    Hook Layer
    15
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     guste
    -0.44
     perlas
    -0.43
     klasik
    -0.43
     cucchia
    -0.43
     quieran
    -0.42
     apoder
    -0.41
    veratrol
    -0.40
     dreht
    -0.40
     encantó
    -0.40
    Referințe
    -0.40
    POSITIVE LOGITS
     hospital
    1.49
     Hospital
    1.41
    Hospital
    1.24
    hospital
    1.21
     hospitals
    1.19
     HOSPITAL
    1.16
     Hospitals
    1.02
    Hospitals
    1.00
     hospitalization
    0.98
     zieken
    0.93
    Activations Density 0.179%

    No Known Activations