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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 3-GEMMASCOPE-RES-16K
    11. 7909
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    references to labeling and categorization in data

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 3-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_3/width_16k/average_l0_90
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.3.hook_resid_post
    Hook Layer
    3
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    subpackage
    -0.46
     économies
    -0.40
    "}")
    -0.40
    openzeppelin
    -0.38
    ymce
    -0.37
    躇
    -0.37
     Verfahrens
    -0.36
     pouvoirs
    -0.35
    łość
    -0.35
    Adventures
    -0.35
    POSITIVE LOGITS
    labels
    2.05
     labels
    1.90
    Labels
    1.77
     Labels
    1.73
     tags
    1.22
     titles
    1.14
     names
    1.14
    Tags
    1.11
     etiquetas
    1.07
     Tags
    1.05
    Activations Density 0.194%

    No Known Activations