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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 11-GEMMASCOPE-RES-16K
    11. 13258
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    Explanations

    information related to public transportation stations and systems

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 11-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_11/width_16k/average_l0_118
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.11.hook_resid_post
    Hook Layer
    11
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     CGRectMake
    -0.50
    
    -0.47
    omyelitis
    -0.45
    orestation
    -0.44
    ☸
    -0.44
    oeil
    -0.43
    BuildContext
    -0.42
    otheby
    -0.41
    ambique
    -0.41
     EconPapers
    -0.41
    POSITIVE LOGITS
     subway
    0.51
    makeText
    0.50
    ValueStyle
    0.49
    #
    0.41
     stations
    0.40
    地下鉄
    0.40
     Metro
    0.40
    Subway
    0.40
     metro
    0.40
     denuncias
    0.40
    Activations Density 0.265%

    No Known Activations