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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 34-GEMMASCOPE-RES-16K
    11. 9608
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    content related to accidents and traffic violations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 34-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_34/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.34.hook_resid_post
    Hook Layer
    34
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    uxxxx
    -0.52
     propOrder
    -0.47
    WithIOException
    -0.46
    хьтан
    -0.46
     صوتيه
    -0.45
    Amicalement
    -0.45
     Stadtteil
    -0.43
     GenerationType
    -0.43
     autorytatywna
    -0.42
    pitaux
    -0.42
    POSITIVE LOGITS
     traffic
    1.10
     Traffic
    1.05
     road
    1.00
    Traffic
    0.99
     Road
    0.98
    Road
    0.95
     driver
    0.93
     Driving
    0.93
     driving
    0.92
     Driver
    0.90
    Activations Density 0.328%

    No Known Activations