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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 14-GEMMASCOPE-RES-16K
    11. 10271
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    technical terms and metrics related to automotive engineering and performance specifications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 14-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_14/width_16k/average_l0_67
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.14.hook_resid_post
    Hook Layer
    14
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    oredCriteria
    -0.70
     GenerationType
    -0.54
    OCCURRED
    -0.53
    новниш
    -0.50
    NUMX
    -0.48
    BufferException
    -0.48
    InstrumentedTest
    -0.46
     pulumi
    -0.45
    MessageTagHelper
    -0.45
    RegistryLite
    -0.45
    POSITIVE LOGITS
     optimised
    0.61
     optimized
    0.60
    optimized
    0.53
    opti
    0.52
     optimum
    0.52
     optimizar
    0.49
     optimise
    0.48
     optimize
    0.47
     optimal
    0.47
     otim
    0.46
    Activations Density 0.669%

    No Known Activations