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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. 4325
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    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
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    Negative Logits
     McCl
    -0.66
     Martino
    -0.65
     Somerville
    -0.65
     Razer
    -0.65
     Davie
    -0.63
     EDR
    -0.63
     Cuomo
    -0.62
     Dalio
    -0.62
     McKenzie
    -0.60
     McQu
    -0.59
    POSITIVE LOGITS
     Herrmann
    0.71
     Thurman
    0.60
     Maguire
    0.56
     Flanagan
    0.55
     Farrar
    0.55
     Maldonado
    0.54
     Oester
    0.54
     Royce
    0.54
     Waterman
    0.54
     Larsen
    0.53
    Activations Density 0.858%

    No Known Activations