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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 31-GEMMASCOPE-RES-16K
    11. 2977
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    Explanations

    references to airlines and airline-related terms

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot

    words related to airline travel and aviation industry terminology.

    oai_token-act-pair · claude-4-5-haiku
    Triggered by @emiglarou

    references to airline travel and aviation-related terms.

    oai_token-act-pair · claude-4-5-sonnet
    Triggered by @jyhe0408

    references to commercial aviation and air travel.

    oai_token-act-pair · gpt-5
    Triggered by @jyhe0408
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 31-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_31/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.31.hook_resid_post
    Hook Layer
    31
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     automóviles
    -0.40
     fresa
    -0.40
     camioneta
    -0.38
     caminhão
    -0.38
     estufa
    -0.38
     motocicleta
    -0.36
     samoch
    -0.36
     automóvil
    -0.35
     camiones
    -0.35
     perumahan
    -0.35
    POSITIVE LOGITS
     airline
    1.36
     airlines
    1.26
     Airline
    1.23
    Airline
    1.18
     flight
    1.18
     Airlines
    1.17
    airline
    1.13
     Lufthansa
    1.12
     Flight
    1.10
    Airlines
    1.07
    Activations Density 0.150%

    No Known Activations