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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 7494
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    phrases indicating dedication or commitment to a cause or action

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_23/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     initComponents
    -0.79
     SwitchCompat
    -0.64
    RegressionTest
    -0.62
     betweenstory
    -0.61
    sizeCache
    -0.59
    bootstrapcdn
    -0.59
     CreateTagHelper
    -0.57
     PopupWindow
    -0.57
     Мексичка
    -0.56
    CppMethod
    -0.56
    POSITIVE LOGITS
     commitment
    0.91
     Commitment
    0.85
    Commitment
    0.83
    commitment
    0.76
     Commit
    0.72
     commit
    0.69
     commitments
    0.69
     Committed
    0.67
    Commit
    0.67
     committed
    0.66
    Activations Density 0.102%

    No Known Activations