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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. 0-RES-JB
    6. 21917
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    Explanations

    references to royalty or imperial figures

    oai_token-act-pair · gpt-3.5-turbo

    references to emperors

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     rental
    -0.72
    BIL
    -0.68
     LOC
    -0.67
    swing
    -0.65
     Cheryl
    -0.64
    vers
    -0.64
     canv
    -0.63
     cas
    -0.63
     pickup
    -0.62
     rented
    -0.62
    POSITIVE LOGITS
     Emperor
    3.76
     emperor
    2.95
     Empress
    2.35
    peror
    2.28
    perors
    1.57
     Napoleon
    1.41
     Buddha
    1.39
     Empire
    1.35
     Pope
    1.33
     Vader
    1.32
    Activations Density 0.023%

    No Known Activations