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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 40-GEMMASCOPE-RES-16K
    11. 5998
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    terms related to the presence and identification of specific bacteria in medical samples

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 40-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_40/width_16k/average_l0_125
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.40.hook_resid_post
    Hook Layer
    40
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Fleming
    -0.66
     Gunter
    -0.64
     Shaksp
    -0.59
     Battista
    -0.58
     Dupont
    -0.55
     McAllister
    -0.54
     SDM
    -0.53
     Kessler
    -0.53
     Bowden
    -0.52
     Harrisburg
    -0.52
    POSITIVE LOGITS
     Mendes
    0.63
     Vela
    0.59
     Rockwell
    0.57
     Wynn
    0.53
     Munk
    0.52
     Steinberg
    0.51
     Jør
    0.51
     Forman
    0.51
     Lorenz
    0.50
     Gilmore
    0.50
    Activations Density 3.013%

    No Known Activations