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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 10-GEMMASCOPE-RES-16K
    11. 9378
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    Japanese language structures and particles in context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 10-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_10/width_16k/average_l0_113
    Prompts (Dashboard)
    24,576 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
     purpoſe
    -0.82
     ſta
    -0.81
     Houſe
    -0.79
     houſe
    -0.75
     Majefty
    -0.75
     ſever
    -0.75
     ſtate
    -0.74
     ſche
    -0.71
     ſch
    -0.71
    ſelves
    -0.70
    POSITIVE LOGITS
    の
    0.89
    의
    0.83
    的
    0.79
     の
    0.70
     的
    0.63
    ンの
    0.61
     của
    0.52
    リーの
    0.51
    りの
    0.50
     그의
    0.49
    Activations Density 0.034%

    No Known Activations