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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 2-GEMMASCOPE-RES-16K
    11. 12170
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    Explanations

    references to individuals in governmental or ministerial roles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 2-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_2/width_16k/average_l0_67
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.2.hook_resid_post
    Hook Layer
    2
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     precise
    -0.36
    lotten
    -0.31
     Speech
    -0.30
     speech
    -0.29
     Pope
    -0.29
     ahor
    -0.28
     crisp
    -0.28
    Véxase
    -0.28
    ことがあります
    -0.28
    人不
    -0.28
    POSITIVE LOGITS
     minister
    1.25
    minister
    1.01
     Minister
    0.97
     ministry
    0.88
    Minister
    0.87
     ministerial
    0.85
     manufacture
    0.84
     يتيمه
    0.82
     Manufacture
    0.76
    Manufacture
    0.76
    Activations Density 0.094%

    No Known Activations