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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 8333
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    phrases related to comfort and well-being

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_22/width_16k/average_l0_123
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     парке
    -0.45
     aparcamiento
    -0.45
     parallèle
    -0.44
     stationnement
    -0.43
     Parkplatz
    -0.43
    locally
    -0.43
    SequentialGroup
    -0.42
     parkir
    -0.41
     locally
    -0.41
     annual
    -0.40
    POSITIVE LOGITS
     onboard
    0.93
     passengers
    0.88
     passenger
    0.82
     aboard
    0.75
     Passengers
    0.75
     пассажи
    0.69
    Passengers
    0.69
    passenger
    0.68
    passengers
    0.66
     Passenger
    0.64
    Activations Density 0.273%

    No Known Activations