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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. 12314
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    Explanations

    quantitative data related to transportation, specifically airline seating and capacity

    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
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    No Comments

    Negative Logits
    AutoField
    -0.41
     gefahren
    -0.41
     humanidade
    -0.41
    ůl
    -0.39
     mergeFrom
    -0.39
     Sloveniji
    -0.38
     pilotes
    -0.38
    pulseira
    -0.38
    prilis
    -0.38
    msford
    -0.38
    POSITIVE LOGITS
     Boeing
    0.77
     jet
    0.74
     aircraft
    0.72
     plane
    0.70
     jets
    0.67
     jumbo
    0.64
     planes
    0.64
    Boeing
    0.63
     Airbus
    0.63
    expandindo
    0.63
    Activations Density 0.205%

    No Known Activations