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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 40-GEMMASCOPE-RES-16K
    11. 4416
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    Explanations

    specific aviation-related data and terms referencing airports

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 40-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_40/width_16k/average_l0_125
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.40.hook_resid_post
    Hook Layer
    40
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    createCanvas
    -0.44
     kasarigan
    -0.44
     jagung
    -0.42
    illots
    -0.41
    🚵
    -0.40
     riding
    -0.40
    flies
    -0.40
     tracción
    -0.39
     AssemblyCulture
    -0.39
    agisse
    -0.39
    POSITIVE LOGITS
     airport
    1.39
     terminal
    1.31
     Terminal
    1.27
     Airport
    1.20
    airport
    1.15
    Airport
    1.13
    Terminal
    1.12
     terminals
    1.10
    terminal
    1.06
     Terminals
    1.06
    Activations Density 0.201%

    No Known Activations