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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. 5521
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    Explanations

    references to the concept of quality in various contexts

    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
    msgTypes
    -0.67
     Biôgrafia
    -0.66
     '\\;'
    -0.65
     propOrder
    -0.63
     հղումներ
    -0.61
     चीज़ों
    -0.61
     invokingState
    -0.60
    లాలు
    -0.60
     Meksiku
    -0.60
     мәкал
    -0.59
    POSITIVE LOGITS
     quality
    0.94
     early
    0.89
     speed
    0.83
    quality
    0.79
     pace
    0.75
     ear
    0.73
     qualify
    0.73
    ear
    0.71
     earliest
    0.64
    early
    0.62
    Activations Density 0.299%

    No Known Activations