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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 3-GEMMASCOPE-RES-16K
    11. 9515
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    Explanations

    references to medical degrees, particularly "MD"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 3-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_3/width_16k/average_l0_59
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.3.hook_resid_post
    Hook Layer
    3
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Roskov
    -0.90
    AccessFile
    -0.79
    Izvori
    -0.74
    BufferException
    -0.67
     Luch
    -0.65
    awtextra
    -0.64
     Obre
    -0.64
     trypto
    -0.62
     otomatig
    -0.62
     Mucha
    -0.62
    POSITIVE LOGITS
     MD
    2.91
    MD
    2.74
    md
    2.45
     md
    2.36
     Md
    2.13
    Md
    1.93
     Maryland
    1.59
    Maryland
    1.38
     Annapolis
    1.13
    MDL
    1.07
    Activations Density 0.077%

    No Known Activations