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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. 12-RES-JB
    6. 2513
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    Explanations

    terms related to tax, company operations, and government policies

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

    references to companies and business practices

    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
    OTOS
    -0.82
    chel
    -0.78
    rontal
    -0.76
     adolesc
    -0.72
    ãĤ¦ãĤ¹
    -0.71
    VID
    -0.71
    ULT
    -0.67
    OTO
    -0.67
    IFE
    -0.66
     practition
    -0.64
    POSITIVE LOGITS
     undercut
    1.17
     IPO
    1.16
     compete
    1.13
     hire
    1.10
     innovate
    1.09
     profit
    1.09
     operate
    1.07
     invest
    1.06
     advertise
    1.06
     manufacture
    1.03
    Activations Density 0.307%

    No Known Activations