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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. 10-RES-JB
    6. 2521
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    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     tempt
    -0.89
     renegoti
    -0.88
     boycot
    -0.85
     monopol
    -0.85
     challeng
    -0.85
     concess
    -0.81
     integ
    -0.81
     transact
    -0.77
     embargo
    -0.77
     microbiome
    -0.77
    POSITIVE LOGITS
     Witnesses
    1.38
     Investigators
    1.28
     Authorities
    1.25
     Officials
    1.14
     Dozens
    1.14
     Luckily
    1.13
     Thankfully
    1.11
    Authorities
    1.10
     Fortunately
    1.10
    Witness
    1.09
    Activations Density 0.202%

    No Known Activations