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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. 6589
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    Explanations

    references to pedestrian and vehicular traffic interactions

    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
     <<<<<<<<<<<<<<
    -0.45
    tagHelperRunner
    -0.43
     Haush
    -0.40
     StatefulWidget
    -0.40
     návště
    -0.39
     vasco
    -0.38
    migrationBuilder
    -0.38
    îne
    -0.38
    aarrggbb
    -0.37
    euw
    -0.37
    POSITIVE LOGITS
     pedestrians
    0.81
     pedestrian
    0.70
     traffic
    0.68
     sidewalks
    0.63
     street
    0.63
     Pedestrian
    0.62
     safety
    0.61
    traffic
    0.60
     Traffic
    0.60
     sidewalk
    0.57
    Activations Density 0.146%

    No Known Activations