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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 7266
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    Explanations

    instances of high crowd density or busyness in social contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_22/width_16k/average_l0_123
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     vertus
    -0.31
     longitud
    -0.29
     repair
    -0.28
     presentation
    -0.28
     possibility
    -0.28
    Repair
    -0.27
     potuto
    -0.26
     note
    -0.26
     Wä
    -0.26
     Lieferung
    -0.25
    POSITIVE LOGITS
     crowded
    1.05
     crowds
    0.98
     congested
    0.94
     congestion
    0.91
     throng
    0.89
     crowding
    0.88
     overcrowded
    0.86
     busy
    0.85
     busiest
    0.83
     overcrowding
    0.82
    Activations Density 0.199%

    No Known Activations