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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 10-GEMMASCOPE-RES-16K
    11. 3440
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    Explanations

    names of individuals and their roles or titles in governmental or organizational contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 10-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_10/width_16k/average_l0_113
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.10.hook_resid_post
    Hook Layer
    10
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ThroughAttribute
    -0.63
     drenaje
    -0.41
     combinado
    -0.41
     commandement
    -0.40
     particulières
    -0.40
    createTextNode
    -0.39
     vectorielles
    -0.39
     ingeniería
    -0.39
     dramatique
    -0.37
     ferons
    -0.37
    POSITIVE LOGITS
     politician
    0.84
     legislator
    0.84
     senator
    0.81
     Senator
    0.80
     lawmaker
    0.78
     legislators
    0.77
     congressman
    0.77
     Congressman
    0.77
     elected
    0.76
     politicians
    0.75
    Activations Density 0.641%

    No Known Activations