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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. 6-RES-JB
    6. 19477
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    Explanations

    names and titles of military and government officials

    oai_token-act-pair · gpt-3.5-turbo

    mentions of military ranks or titles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    zsche
    -0.79
    ebook
    -0.66
     pudding
    -0.64
    worms
    -0.64
    ylum
    -0.63
     creditor
    -0.63
    andra
    -0.62
     calendars
    -0.62
    erity
    -0.62
     champagne
    -0.61
    POSITIVE LOGITS
     Alvin
    0.88
    Lt
    0.80
    ItemTracker
    0.80
     Surge
    0.79
     Dominic
    0.75
    icio
    0.75
     Maj
    0.74
     Jeremiah
    0.73
     Nate
    0.73
     Todd
    0.73
    Activations Density 0.041%

    No Known Activations