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    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-2B
    4. Residual Stream - 16k
    5. 14-GEMMASCOPE-RES-16K
    6. 8152
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    references to buses and transportation systems

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 14-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_14/width_16k/average_l0_84
    Prompts (Dashboard)
    36,864 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
    ︎
    -0.81
    ghen
    -0.74
    ISMS
    -0.73
     Tek
    -0.72
     Clements
    -0.72
     Telangana
    -0.71
     Prit
    -0.70
     Scin
    -0.70
     eingeb
    -0.69
     Tana
    -0.68
    POSITIVE LOGITS
     buses
    1.65
     bus
    1.65
     Bus
    1.64
     Buses
    1.52
     Busse
    1.50
    Bus
    1.46
     BUS
    1.45
    bus
    1.44
    Buses
    1.34
    BUS
    1.33
    Activations Density 0.114%

    No Known Activations