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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 9387
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    quantitative data related to patient characteristics and treatment outcomes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_22/width_16k/average_l0_123
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     minOccurs
    -0.38
     sic
    -0.37
     ETC
    -0.36
    Endian
    -0.36
    UnsafeEnabled
    -0.34
     Supreme
    -0.34
    trend
    -0.34
     vong
    -0.33
    RTP
    -0.33
     Reſ
    -0.33
    POSITIVE LOGITS
     autorytatywna
    0.59
     käytet
    0.53
     protoimpl
    0.46
     nahilalakip
    0.45
    Referințe
    0.45
     makl
    0.42
     føl
    0.42
     CreateTagHelper
    0.41
     Autorisations
    0.40
    最多的
    0.40
    Activations Density 1.203%

    No Known Activations