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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 40-GEMMASCOPE-RES-16K
    11. 7544
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    situations involving vehicular incidents or accidents

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 40-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_40/width_16k/average_l0_125
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.40.hook_resid_post
    Hook Layer
    40
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Waray
    -0.44
     marching
    -0.43
    RotationOrder
    -0.43
     marched
    -0.42
     Walks
    -0.41
     marches
    -0.41
     sequelize
    -0.41
    Camin
    -0.41
     Walking
    -0.40
     Numerade
    -0.40
    POSITIVE LOGITS
     hon
    0.91
     slowing
    0.74
     pulled
    0.71
     accelerating
    0.71
     slowed
    0.70
     pull
    0.69
     drive
    0.69
     driving
    0.69
     drove
    0.68
     accelerate
    0.67
    Activations Density 0.275%

    No Known Activations