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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 41-GEMMASCOPE-RES-16K
    11. 5162
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    Explanations

    references to vehicle recalls and automotive quality issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 41-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_41/width_16k/average_l0_113
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.41.hook_resid_post
    Hook Layer
    41
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tonode
    -0.64
     vů
    -0.60
    tangentMode
    -0.60
     épaules
    -0.51
    erschrank
    -0.50
     defaultstate
    -0.49
    httphttps
    -0.48
    UserScript
    -0.48
     ErrIntOverflow
    -0.48
     cykel
    -0.48
    POSITIVE LOGITS
     cars
    1.38
     vehicles
    1.34
     automobiles
    1.02
     boats
    1.00
     trucks
    0.99
    vehicles
    0.94
    cars
    0.93
     ships
    0.89
     airplanes
    0.86
     vans
    0.85
    Activations Density 0.379%

    No Known Activations