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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 10-GEMMASCOPE-RES-16K
    11. 1944
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    phrases related to professional development and coaching within a workplace context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 10-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_10/width_16k/average_l0_77
    Prompts (Dashboard)
    36,864 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
     Layout
    -0.57
    conci
    -0.53
     distribu
    -0.50
     KIND
    -0.48
    出版社
    -0.47
    alignSelf
    -0.47
    licon
    -0.46
    GeneratedMessage
    -0.46
    ij
    -0.45
    ActionEvent
    -0.45
    POSITIVE LOGITS
     learning
    0.81
    learning
    0.74
     совершен
    0.71
     evolving
    0.70
     improve
    0.70
    improve
    0.68
     upgrading
    0.68
     growths
    0.67
     perfecting
    0.67
     mejora
    0.67
    Activations Density 0.205%

    No Known Activations