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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 35-GEMMASCOPE-RES-16K
    11. 13392
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    names and qualifications of medical professionals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 35-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_35/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.35.hook_resid_post
    Hook Layer
    35
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     surla
    -0.57
    posedge
    -0.53
    WriteTagHelper
    -0.49
     defaultstate
    -0.48
     '\\;'
    -0.48
     rehabilitate
    -0.46
     transfieras
    -0.45
     Administrativna
    -0.44
     vård
    -0.44
    الحياه
    -0.43
    POSITIVE LOGITS
     residency
    0.80
     Residency
    0.75
     Resident
    0.68
     Residents
    0.68
     residents
    0.67
     resident
    0.65
     residen
    0.64
    Resident
    0.60
    Residents
    0.59
    residents
    0.59
    Activations Density 0.468%

    No Known Activations