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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 9721
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    Japanese phrases related to program generation and error reporting in development contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 9-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_9/width_16k/average_l0_100
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     purpoſe
    -0.77
     ſta
    -0.77
     Waſſer
    -0.69
     Majefty
    -0.69
    ſelves
    -0.69
     ſever
    -0.69
     Houſe
    -0.68
    ſhip
    -0.67
    <unused15>
    -0.67
    <unused17>
    -0.66
    POSITIVE LOGITS
    の
    0.87
    의
    0.87
    的
    0.83
     の
    0.70
     的
    0.67
     của
    0.60
    ンの
    0.57
     그의
    0.49
    リーの
    0.48
    きの
    0.48
    Activations Density 0.061%

    No Known Activations