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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 1-RES-JB
    6. 8418
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    Explanations

    healthcare-related terms, specifically related to legislative acts and care organizations

    oai_token-act-pair · gpt-3.5-turbo

    references to healthcare legislation and related policies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     nav
    -0.64
     hiding
    -0.64
     perjury
    -0.64
     Kenyan
    -0.63
    kered
    -0.61
    ãĥĥãĥī
    -0.61
    SN
    -0.60
    KEN
    -0.60
    integer
    -0.59
    toggle
    -0.59
    POSITIVE LOGITS
    taker
    1.19
     Care
    1.18
    care
    1.12
    Care
    0.96
     Provider
    0.89
     Clinic
    0.86
     Aware
    0.84
     Patient
    0.82
    payer
    0.81
    croft
    0.80
    Activations Density 0.009%

    No Known Activations