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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. 11481
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    Explanations

    references 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 @ 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
     sequence
    -0.32
    fahrts
    -0.32
     JMenuItem
    -0.32
     chains
    -0.31
    Personensuche
    -0.30
    Chham
    -0.30
     stream
    -0.29
    adilan
    -0.29
     Dunne
    -0.29
    awtextra
    -0.28
    POSITIVE LOGITS
     Dr
    3.30
    Dr
    3.06
     dr
    2.63
     Doctor
    2.34
     doctor
    2.17
    dr
    2.14
    Doctor
    2.11
     Drs
    2.09
     docteur
    2.06
     доктор
    2.03
    Activations Density 0.374%

    No Known Activations