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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 33-GEMMASCOPE-RES-16K
    11. 9607
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    references to transportation and transit systems

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 33-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_33/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.33.hook_resid_post
    Hook Layer
    33
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Rhestr
    -0.34
    __.__
    -0.33
     tattoo
    -0.30
    Tattoo
    -0.29
     tent
    -0.29
    IBOutlet
    -0.28
     Meksiku
    -0.28
     sanitarias
    -0.28
    Kanpo
    -0.27
     colch
    -0.27
    POSITIVE LOGITS
     traffic
    1.59
     Traffic
    1.50
     Transportation
    1.49
     transportation
    1.48
    Traffic
    1.42
    Transportation
    1.40
    traffic
    1.37
     transport
    1.34
     Transport
    1.30
     Verkehrs
    1.29
    Activations Density 0.453%

    No Known Activations