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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 3-RES-JB
    11. 2759
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    Explanations

    mentions of a specific location: Ottawa

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the city of Ottawa

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ebook
    -0.85
    Ü
    -0.83
    âķIJâķIJ
    -0.82
    iles
    -0.75
    ãĤ¦
    -0.74
    âĵĺ
    -0.73
    Ö
    -0.71
    ×ij
    -0.71
    ×ŀ
    -0.69
    lihood
    -0.68
    POSITIVE LOGITS
    apolis
    1.02
     Ottawa
    1.00
     Senators
    0.92
    sburgh
    0.87
     Centre
    0.86
     Fury
    0.86
    awa
    0.78
    ipeg
    0.78
     Rapids
    0.74
     citiz
    0.72
    Activations Density 0.007%

    No Known Activations