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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 28-GEMMASCOPE-RES-16K
    11. 8957
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    Explanations

    details related to vehicles, particularly their specifications and usage in legal contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    describing vehicles

    np_acts-logits-general · gemini-2.0-flash

    vehicles and transportation

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 28-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_28/width_16k/average_l0_119
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.28.hook_resid_post
    Hook Layer
    28
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    yntaxException
    -0.41
    IBAction
    -0.41
    TargetException
    -0.40
    AddTagHelper
    -0.38
     BorderSide
    -0.38
    Redacción
    -0.37
    ButtonModule
    -0.37
    protoimpl
    -0.36
    OrEmpty
    -0.36
    väg
    -0.35
    POSITIVE LOGITS
     machines
    0.71
    machines
    0.67
     motorcycles
    0.61
     Machines
    0.59
     machine
    0.59
     computers
    0.55
     cars
    0.55
     trucks
    0.55
    Machines
    0.54
     macchine
    0.53
    Activations Density 0.555%

    No Known Activations