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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 34-GEMMASCOPE-RES-16K
    11. 4448
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    terms related to transportation infrastructure

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 34-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_34/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.34.hook_resid_post
    Hook Layer
    34
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    SequentialGroup
    -0.59
    SharedDtor
    -0.45
    
    -0.45
     Meksiku
    -0.43
    RegressionTest
    -0.41
    олові
    -0.41
     finnas
    -0.40
     continúas
    -0.39
     Schein
    -0.38
     автомо
    -0.37
    POSITIVE LOGITS
     stations
    1.10
     subway
    1.07
     metro
    1.05
     station
    1.03
     Metro
    0.99
     Stations
    0.91
    Metro
    0.86
     tram
    0.85
    metro
    0.82
    stations
    0.82
    Activations Density 0.232%

    No Known Activations