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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 11336
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    names of companies and entities in the biotechnology and pharmaceutical sectors

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_23/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.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ProtoMessage
    -0.64
    +#+#
    -0.64
    twimg
    -0.56
     EconPapers
    -0.53
    elemField
    -0.53
    ніципалі
    -0.53
    addContainerGap
    -0.52
     StatelessWidget
    -0.52
    jsxFileName
    -0.51
    RegressionTest
    -0.50
    POSITIVE LOGITS
     (
    0.41
     religieuse
    0.38
     religiosa
    0.37
    tighets
    0.34
    Demografie
    0.34
     ilmo
    0.34
     määrä
    0.33
    曖昧さ回避
    0.33
    asants
    0.33
     sociais
    0.32
    Activations Density 0.189%

    No Known Activations