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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 40-GEMMASCOPE-RES-16K
    11. 6741
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    references to pharmaceutical companies and their activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 40-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_40/width_16k/average_l0_125
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.40.hook_resid_post
    Hook Layer
    40
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    endphp
    -0.50
     snippetHide
    -0.50
    :✨
    -0.44
    MLLoader
    -0.43
     magasin
    -0.42
    çants
    -0.42
     yym
    -0.41
     iNdEx
    -0.41
     StringTokenizer
    -0.41
    +:+
    -0.41
    POSITIVE LOGITS
     bio
    1.09
     biotech
    1.08
     Bio
    1.02
    Bio
    0.98
     biolog
    0.96
     pharma
    0.96
     Biotech
    0.95
     pharmaceutical
    0.95
     drug
    0.93
     biotechnology
    0.93
    Activations Density 0.748%

    No Known Activations