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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 8219
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    Explanations

    references to biking and motorcycle-related content

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_23/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bootstrapcdn
    -0.71
     &___
    -0.69
    addCriterion
    -0.69
     EconPapers
    -0.66
     autorytatywna
    -0.66
    oredCriteria
    -0.66
    AutoScaleMode
    -0.65
     queſta
    -0.64
     riuscito
    -0.63
     Normdatei
    -0.63
    POSITIVE LOGITS
     bike
    1.15
     rider
    1.10
     riders
    1.08
     bikes
    1.02
     Bike
    0.99
     Riders
    0.95
    bike
    0.95
     riding
    0.94
     motorcycle
    0.93
    Bike
    0.90
    Activations Density 0.429%

    No Known Activations