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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 13-GEMMASCOPE-RES-16K
    11. 7355
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    references to hospitals and medical professionals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 13-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_13/width_16k/average_l0_132
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.13.hook_resid_post
    Hook Layer
    13
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     StringTokenizer
    -0.54
     MainAxisSize
    -0.49
    Bromoform
    -0.48
    rungsseite
    -0.48
     Nachhal
    -0.47
    WriteBarrier
    -0.47
    IntoConstraints
    -0.46
    ########.
    -0.46
     marcher
    -0.45
    tagext
    -0.45
    POSITIVE LOGITS
     medical
    1.11
     hospital
    1.04
     hospitals
    1.01
     Hospital
    0.99
     doctors
    0.97
     Medical
    0.94
    Hospital
    0.93
    medical
    0.93
     Hospitals
    0.91
    Medical
    0.90
    Activations Density 0.961%

    No Known Activations