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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 13-GEMMASCOPE-RES-16K
    11. 9449
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    references to tanks and aquatic themes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 13-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_13/width_16k/average_l0_132
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.13.hook_resid_post
    Hook Layer
    13
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     queſta
    -0.70
     Foire
    -0.62
     quæ
    -0.57
     zoude
    -0.57
    ſelves
    -0.57
     startTime
    -0.55
     faſt
    -0.54
    EmployeeId
    -0.52
    onacci
    -0.52
     lepid
    -0.52
    POSITIVE LOGITS
     River
    0.59
     Rivera
    0.57
     Ocean
    0.57
     sungai
    0.55
    River
    0.54
    pool
    0.54
     river
    0.54
    Ocean
    0.54
     tank
    0.53
     bathe
    0.52
    Activations Density 1.547%

    No Known Activations