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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 1-GEMMASCOPE-RES-16K
    11. 3820
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    Explanations

    references to lanes, particularly in the context of transportation or road systems

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 1-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_1/width_16k/average_l0_102
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.1.hook_resid_post
    Hook Layer
    1
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    SourceChecksum
    -0.90
    UpInside
    -0.86
    EndInit
    -0.84
    AnchorTagHelper
    -0.80
     nahilalakip
    -0.78
     AssemblyTitle
    -0.77
    endpush
    -0.76
     viewDidLoad
    -0.75
     guías
    -0.74
    msgSender
    -0.74
    POSITIVE LOGITS
     Lane
    0.99
     lane
    0.97
    Lane
    0.90
     pathway
    0.79
     lanes
    0.79
     LANE
    0.78
    lane
    0.77
     pathways
    0.72
     Pathway
    0.70
    lanes
    0.60
    Activations Density 0.084%

    No Known Activations