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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 13776
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    Explanations

    references to various modes of transportation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_22/width_16k/average_l0_123
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     InputDecoration
    -0.47
     TestBed
    -0.43
    IBOutlet
    -0.40
    useState
    -0.39
    ymce
    -0.39
     useState
    -0.39
    ViewChild
    -0.36
     Chwiliwch
    -0.34
    Pred
    -0.34
     voud
    -0.34
    POSITIVE LOGITS
     transport
    0.73
     للمعارف
    0.73
     transportation
    0.72
     transportasi
    0.72
     buses
    0.69
     Transportation
    0.68
     transporting
    0.68
    transportation
    0.68
    Transportation
    0.67
     Buses
    0.66
    Activations Density 0.502%

    No Known Activations