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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. 11446
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    Explanations

    references to patients in a medical context

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    nungs
    -0.49
     kautta
    -0.49
     regola
    -0.47
     kasarigan
    -0.46
    convite
    -0.46
     rules
    -0.44
    setVerticalGroup
    -0.44
    BeforeAll
    -0.44
     raiſ
    -0.44
    เติม
    -0.44
    POSITIVE LOGITS
     Patient
    1.35
    Patient
    1.34
    patient
    1.32
     patient
    1.30
     Patients
    1.23
     patients
    1.18
    Patients
    1.17
     PATIENT
    1.13
    patients
    1.10
     paciente
    1.05
    Activations Density 0.191%

    No Known Activations