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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 36-GEMMASCOPE-RES-16K
    11. 9426
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    details related to medical professionals and their qualifications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 36-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_36/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.36.hook_resid_post
    Hook Layer
    36
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    posedge
    -0.51
     Therapy
    -0.49
     rehabilitation
    -0.48
     Rehabilitation
    -0.47
     vård
    -0.47
     Rehab
    -0.46
    Therapy
    -0.45
     therapists
    -0.45
     Therapist
    -0.45
     THERAPY
    -0.45
    POSITIVE LOGITS
     residency
    0.72
     Residency
    0.67
     Resident
    0.62
     residen
    0.59
     residents
    0.58
     Residents
    0.57
     resident
    0.56
    httphttps
    0.56
    ValueStyle
    0.54
    Resident
    0.53
    Activations Density 0.540%

    No Known Activations