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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. 7899
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    Explanations

    references to vehicle performance and handling dynamics

    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
     ब्रेकडाउन
    -0.51
    ContentLoaded
    -0.51
     تضيفلها
    -0.50
    Література
    -0.46
    openzeppelin
    -0.44
     мәкал
    -0.43
    esModule
    -0.42
    Hentet
    -0.41
    queryInterface
    -0.41
     Cumberland
    -0.39
    POSITIVE LOGITS
     steering
    0.65
     braking
    0.61
     traction
    0.59
     lateral
    0.58
     sharpness
    0.57
     corner
    0.57
     sharper
    0.54
    steer
    0.54
     yaw
    0.54
     menik
    0.54
    Activations Density 0.254%

    No Known Activations