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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 12-GEMMASCOPE-RES-16K
    11. 3790
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    references to patients and their conditions or experiences in medical contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 12-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_12/width_16k/average_l0_130
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.12.hook_resid_post
    Hook Layer
    12
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    convite
    -0.55
     regola
    -0.51
    lewati
    -0.48
     kautta
    -0.48
     sää
    -0.46
     regulares
    -0.46
    nungs
    -0.45
     Phú
    -0.45
     juſ
    -0.45
    brinco
    -0.45
    POSITIVE LOGITS
    Patient
    1.34
     Patient
    1.34
    patient
    1.33
     patient
    1.30
     Patients
    1.20
     patients
    1.15
    Patients
    1.15
     PATIENT
    1.13
    patients
    1.07
     paciente
    1.02
    Activations Density 0.226%

    No Known Activations