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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. 9592
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    Explanations

    references to specific medical conditions and personal health struggles

    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
     kasarigan
    -0.48
    稍
    -0.41
     visst
    -0.40
     base
    -0.39
     تن
    -0.39
     paik
    -0.38
     market
    -0.38
     markt
    -0.37
     snippetHide
    -0.37
    InitStruct
    -0.36
    POSITIVE LOGITS
     CreateTagHelper
    0.63
     diagnosed
    0.55
     myſelf
    0.54
     disease
    0.51
     hospital
    0.50
     sickness
    0.50
    disease
    0.49
     diagnosis
    0.48
     medically
    0.48
     underwent
    0.47
    Activations Density 0.243%

    No Known Activations