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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 37-GEMMASCOPE-RES-16K
    11. 5178
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    references to specific medical case studies or reports

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 37-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_37/width_16k/average_l0_124
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.37.hook_resid_post
    Hook Layer
    37
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     defaultstate
    -0.46
    RTEE
    -0.44
    ſelf
    -0.43
    GOTREF
    -0.42
    Географиясе
    -0.41
    RTDA
    -0.40
    TagMode
    -0.40
    🏿
    -0.40
    期刊论文
    -0.39
     desto
    -0.39
    POSITIVE LOGITS
     study
    0.69
    load
    0.69
    Case
    0.65
     éché
    0.63
     Case
    0.63
     scenario
    0.62
    case
    0.60
    CASE
    0.59
     Study
    0.57
    loads
    0.57
    Activations Density 0.127%

    No Known Activations