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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 12-RES-JB
    11. 4936
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    INDEX
    Explanations

    research findings related to health and medical conditions, such as Alzheimer's disease, cancer, heart disease, stroke, and circumcision

    oai_token-act-pair · gpt-3.5-turbo
    Triggered by @bot

    references to medical research and studies

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     actionGroup
    -0.81
     Outs
    -0.76
    externalActionCode
    -0.70
     hacker
    -0.69
     vandal
    -0.63
     Occupy
    -0.62
     leased
    -0.62
     towed
    -0.61
     tenant
    -0.61
     Streaming
    -0.61
    POSITIVE LOGITS
     placebo
    1.36
     randomized
    1.29
     Lancet
    1.28
     observational
    1.15
     unpublished
    1.13
     meta
    1.11
     clinical
    1.08
     trials
    1.07
     patients
    1.07
     clinicians
    1.04
    Activations Density 0.312%

    No Known Activations