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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 34-GEMMASCOPE-RES-16K
    11. 4628
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    key football statistics and performance metrics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 34-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_34/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.34.hook_resid_post
    Hook Layer
    34
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     offensive
    -0.68
    InjectAttribute
    -0.68
     Offensive
    -0.67
     offense
    -0.65
    Offensive
    -0.65
     '\\;'
    -0.61
    __*/
    -0.60
     Autorisations
    -0.59
    󠁢
    -0.59
    ArgumentParser
    -0.58
    POSITIVE LOGITS
     sack
    0.52
     sacks
    0.44
     linebacker
    0.44
     Defensive
    0.43
     edge
    0.42
     defensive
    0.41
     blit
    0.41
    Defensive
    0.40
     blitz
    0.39
     sacked
    0.38
    Activations Density 0.115%

    No Known Activations