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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 36-GEMMASCOPE-RES-16K
    11. 14447
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    Explanations

    mentions of airports and their attributes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 36-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_36/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.36.hook_resid_post
    Hook Layer
    36
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     steamboat
    -0.43
     дописавши
    -0.42
     asupra
    -0.39
     jagung
    -0.38
    réhen
    -0.36
     kopling
    -0.36
    Preserve
    -0.36
     felled
    -0.35
    createCanvas
    -0.35
     Weiterbildung
    -0.33
    POSITIVE LOGITS
     terminal
    1.23
     Terminal
    1.15
    Terminal
    1.04
    terminal
    1.01
     terminals
    0.93
     Terminals
    0.90
     runway
    0.80
     TERMIN
    0.80
     airport
    0.77
     Airport
    0.73
    Activations Density 0.186%

    No Known Activations