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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. 7590
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    phrases related to the evaluation and impact of treatment and quality 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 @ 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
     AssemblyCompany
    -0.43
    исленность
    -0.39
    MenuInflater
    -0.36
    Билгалдахарш
    -0.34
    pytest
    -0.31
    endforeach
    -0.30
     gynhyrchwyd
    -0.30
     ролях
    -0.30
     تعدى
    -0.30
    complexContent
    -0.29
    POSITIVE LOGITS
     bad
    2.34
     worst
    2.27
     worse
    2.23
    worst
    2.09
     terrible
    2.09
    bad
    2.05
    worse
    2.00
     lousy
    1.97
     poor
    1.96
     horrible
    1.95
    Activations Density 0.994%

    No Known Activations