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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 15-GEMMASCOPE-RES-16K
    11. 3447
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    Explanations

    references to winning or success in competitive contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 15-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_15/width_16k/average_l0_131
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.15.hook_resid_post
    Hook Layer
    15
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     SDF
    -0.55
    gridLayout
    -0.54
    <_>
    -0.54
     sdf
    -0.53
    StyleSheet
    -0.53
     ostavi
    -0.52
     StyleSheet
    -0.52
     basePath
    -0.52
    萩
    -0.52
    ioutil
    -0.51
    POSITIVE LOGITS
    Winning
    1.02
     winning
    1.02
    winning
    1.00
     win
    0.98
     won
    0.97
     winner
    0.95
     Winning
    0.94
     kemenangan
    0.92
    won
    0.90
    Win
    0.88
    Activations Density 0.106%

    No Known Activations