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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 7-GEMMASCOPE-RES-16K
    11. 14475
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    Japanese particles and grammatical structures in text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 7-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_7/width_16k/average_l0_92
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.7.hook_resid_post
    Hook Layer
    7
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ſta
    -0.70
     pleaſure
    -0.69
     Majefty
    -0.68
     ſtate
    -0.67
    Personendaten
    -0.65
     ſever
    -0.63
     purpoſe
    -0.63
     tranſ
    -0.60
     houſe
    -0.60
     ſch
    -0.60
    POSITIVE LOGITS
    の
    1.45
    의
    1.16
     の
    1.00
    りの
    0.79
    的
    0.78
    ンの
    0.78
    いの
    0.74
    きの
    0.73
     की
    0.69
    ールの
    0.69
    Activations Density 0.023%

    No Known Activations