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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 37-GEMMASCOPE-RES-16K
    11. 5929
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    phrases related to medical terminology and anatomical structures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 37-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_37/width_16k/average_l0_124
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.37.hook_resid_post
    Hook Layer
    37
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Bonner
    -0.70
     Bish
    -0.69
     Cherokee
    -0.64
     Gere
    -0.64
     Vesta
    -0.63
     Britton
    -0.61
     Eph
    -0.60
     DCC
    -0.59
     Nora
    -0.59
    Nora
    -0.59
    POSITIVE LOGITS
     Bautista
    0.71
     Findlay
    0.69
     McIntyre
    0.57
     Greenfield
    0.55
     Velas
    0.54
     Smack
    0.51
     cauliflower
    0.50
     Bauch
    0.50
     Beyer
    0.49
     Candel
    0.49
    Activations Density 1.075%

    No Known Activations