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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 904
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    terms related to expense and cost

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 9-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_9/width_16k/average_l0_73
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Personendaten
    -0.84
     oprot
    -0.79
     Towel
    -0.78
    Slf
    -0.75
     Seeder
    -0.71
    JspWriter
    -0.71
     Jodi
    -0.70
     Showers
    -0.70
    pili
    -0.70
     Roster
    -0.69
    POSITIVE LOGITS
     expensive
    1.17
    expensive
    1.11
     Expensive
    1.03
    Expensive
    1.03
    pensive
    0.95
     costly
    0.85
     pricey
    0.81
    Cheap
    0.76
     cheaper
    0.74
     cheaply
    0.74
    Activations Density 0.094%

    No Known Activations