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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 15-GEMMASCOPE-RES-16K
    11. 4972
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    Explanations

    phrases describing vehicles and their interactions in various scenarios

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 15-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_15/width_16k/average_l0_131
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.15.hook_resid_post
    Hook Layer
    15
    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
    -0.43
     Begründung
    -0.42
     Gegend
    -0.41
     Berührung
    -0.41
     Nachbarn
    -0.41
     aparcamiento
    -0.41
    RegressionTest
    -0.41
     Regeln
    -0.39
     Händen
    -0.39
     libremente
    -0.39
    POSITIVE LOGITS
     passengers
    0.99
     Passengers
    0.93
     passenger
    0.92
    AddTagHelper
    0.87
     onboard
    0.78
     Passenger
    0.76
     aboard
    0.74
    Passengers
    0.74
    passenger
    0.72
    passengers
    0.70
    Activations Density 0.492%

    No Known Activations