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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 14-GEMMASCOPE-RES-16K
    11. 10731
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    Explanations

    connections to public transportation systems

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 14-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_14/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.14.hook_resid_post
    Hook Layer
    14
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     насељу
    -0.61
    
    -0.60
     Meksiku
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     EconPapers
    -0.58
     CGRectMake
    -0.53
    otheby
    -0.50
    SharedDtor
    -0.48
    psack
    -0.47
    uvwxyz
    -0.47
    tvguidetime
    -0.47
    POSITIVE LOGITS
     commuter
    0.54
     passengers
    0.54
     subway
    0.53
     commuters
    0.52
     rail
    0.50
     Transit
    0.50
     transit
    0.50
     passenger
    0.49
     stations
    0.48
     station
    0.48
    Activations Density 0.103%

    No Known Activations