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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. 7-RES-JB
    6. 8143
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    Explanations

    words related to people's names

    oai_token-act-pair · gpt-3.5-turbo

    names of individuals or specific people

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     RELE
    -0.72
    natureconservancy
    -0.71
     prost
    -0.69
     COM
    -0.68
     TRA
    -0.67
     INTER
    -0.67
     CLS
    -0.67
     recomb
    -0.66
     acron
    -0.65
     sanct
    -0.65
    POSITIVE LOGITS
    ovich
    1.01
    aga
    1.00
    ois
    0.98
    baum
    0.98
    ouf
    0.97
    ason
    0.97
    kson
    0.97
    idy
    0.97
    ault
    0.97
    oit
    0.96
    Activations Density 0.194%

    No Known Activations