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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 1-GEMMASCOPE-RES-16K
    11. 2027
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    Explanations

    references to airlines and airports

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 1-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_1/width_16k/average_l0_69
    Prompts (Dashboard)
    24,576 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
    NameInMap
    -0.69
     propOrder
    -0.52
    Seeder
    -0.47
     ​​
    -0.45
     nahilalakip
    -0.44
    pth
    -0.43
     brev
    -0.43
    DeepCopy
    -0.43
    MathML
    -0.42
     Ges
    -0.42
    POSITIVE LOGITS
     Airlines
    0.88
     airlines
    0.73
    Airlines
    0.69
     Airline
    0.67
     airline
    0.63
    Airline
    0.59
     zijne
    0.52
     airport
    0.50
    airline
    0.49
     penerbangan
    0.48
    Activations Density 0.120%

    No Known Activations