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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 0-GEMMASCOPE-RES-16K
    11. 10264
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    statistical performance metrics related to quarterbacks and passing in football

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 0-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_0/width_16k/average_l0_129
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.0.hook_resid_post
    Hook Layer
    0
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     increí
    -1.22
     desmotivaciones
    -1.18
     anún
    -1.13
     indígen
    -1.12
     miniaturka
    -1.09
     queſta
    -1.01
     Grüsse
    -1.00
     enfans
    -0.98
    <unused28>
    -0.97
    <unused79>
    -0.97
    POSITIVE LOGITS
    ↵
    0.88
    ↵↵
    0.80
    ,
    0.79
    .
    0.76
    ’
    0.75
    -
    0.75
    '
    0.73
      
    0.68
     
    0.68
     (
    0.68
    Activations Density 0.674%

    No Known Activations