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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 39-GEMMASCOPE-RES-16K
    11. 1812
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    keywords related to automotive industry performance metrics and vehicle specifications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 39-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_39/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.39.hook_resid_post
    Hook Layer
    39
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     McMahon
    -0.60
     Rowley
    -0.59
     Mendez
    -0.59
     Falco
    -0.58
     NPA
    -0.57
     Wiesen
    -0.57
     Metz
    -0.57
    Camila
    -0.56
     Sarko
    -0.56
     Trudeau
    -0.56
    POSITIVE LOGITS
     Moseley
    0.59
     Simms
    0.55
     McClure
    0.55
     Barnett
    0.52
     Hussain
    0.51
     AFR
    0.51
     Livingstone
    0.51
     Sharpe
    0.50
     Whittaker
    0.48
     Bochum
    0.47
    Activations Density 1.848%

    No Known Activations