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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. 8683
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    references to medical surgeries and their outcomes

    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
     lenker
    -0.47
    rungsseite
    -0.46
     nahilalakip
    -0.45
     ligiloj
    -0.44
     persons
    -0.41
     Walkover
    -0.39
    ">//
    -0.39
     estekak
    -0.38
    TagHelper
    -0.38
     ग्राहकों
    -0.36
    POSITIVE LOGITS
     doctors
    0.91
    doctors
    0.81
     worsening
    0.78
     médicos
    0.76
     Ärzte
    0.75
     debilitating
    0.75
    Doctors
    0.75
     diagnosed
    0.75
     prognosis
    0.74
     médecins
    0.74
    Activations Density 0.624%

    No Known Activations