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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 38-GEMMASCOPE-RES-16K
    11. 10863
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    Explanations

    references to airlines and airport operations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 38-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_38/width_16k/average_l0_128
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.38.hook_resid_post
    Hook Layer
    38
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     airport
    -0.58
     aircraft
    -0.51
    airport
    -0.51
    /**
    -0.48
    SharedCtor
    -0.48
     Airport
    -0.47
     airports
    -0.46
     AIRCRAFT
    -0.46
     Aircraft
    -0.45
    
    -0.43
    POSITIVE LOGITS
     Virgin
    0.67
    Virgin
    0.59
     Turkish
    0.56
     Ethiopian
    0.56
     Etihad
    0.56
     Norwegian
    0.53
     Monarch
    0.52
     Easy
    0.52
     Delta
    0.52
     virgin
    0.51
    Activations Density 0.349%

    No Known Activations