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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 6-GEMMASCOPE-RES-16K
    11. 5805
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    references to metro and subway stations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 6-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_6/width_16k/average_l0_70
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.6.hook_resid_post
    Hook Layer
    6
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    wind
    -0.53
     dét
    -0.50
    winding
    -0.49
     malo
    -0.47
     winds
    -0.46
     nakalista
    -0.46
    LogFactory
    -0.44
     wound
    -0.44
    lecular
    -0.43
    Preconditions
    -0.43
    POSITIVE LOGITS
     subway
    1.01
     Metro
    0.87
     train
    0.83
     station
    0.83
     trains
    0.81
    🚇
    0.81
     metro
    0.81
    Metro
    0.81
    Subway
    0.80
     метро
    0.80
    Activations Density 0.259%

    No Known Activations