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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 20-GEMMASCOPE-RES-16K
    11. 5912
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    Explanations

    terms related to medical professionals and healthcare settings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    medical professionals, particularly doctors and medical contexts.

    oai_token-act-pair · claude-3-5-haiku-20241022Triggered by @neilrathi
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 20-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_20/width_16k/average_l0_68
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.20.hook_resid_post
    Hook Layer
    20
    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
    -0.45
     Nachhal
    -0.45
     ENVIRONMENTAL
    -0.44
    WriteBarrier
    -0.44
     recic
    -0.43
     SETTLE
    -0.42
    Bewer
    -0.41
     ENJOY
    -0.41
    monium
    -0.40
    Voter
    -0.40
    POSITIVE LOGITS
     medical
    1.06
     hospitals
    1.01
     physicians
    0.99
     hospital
    0.95
     healthcare
    0.94
     doctors
    0.94
     Medical
    0.94
     medically
    0.92
    Hospitals
    0.90
    Medical
    0.90
    Activations Density 0.514%

    No Known Activations