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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 39-GEMMASCOPE-RES-16K
    11. 1639
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    references to medical records and healthcare providers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 39-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_39/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.39.hook_resid_post
    Hook Layer
    39
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     utafitiHapana
    -0.36
    ConstraintMaker
    -0.35
    Bioaccumulative
    -0.34
    EndGlobalSection
    -0.34
    principalTable
    -0.31
    WriteBarrier
    -0.30
     kasarigan
    -0.30
    pektive
    -0.30
     Chbosky
    -0.30
    mata
    -0.29
    POSITIVE LOGITS
     medical
    2.66
    medical
    2.38
    Medical
    2.36
     Medical
    2.36
     doctors
    2.28
     MEDICAL
    2.25
     physicians
    2.16
     medically
    2.14
     médicos
    2.14
    MEDICAL
    2.13
    Activations Density 1.731%

    No Known Activations