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

    references to the city of 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 @ 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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    No Comments

    Negative Logits
    iles
    -0.77
    ãĤ¦
    -0.77
    anmar
    -0.76
    âĵĺ
    -0.76
    ebook
    -0.74
    âķIJâķIJ
    -0.72
    ingly
    -0.71
    bler
    -0.71
    ×ŀ
    -0.70
    vich
    -0.70
    POSITIVE LOGITS
    apolis
    1.00
     Fury
    0.96
     Senators
    0.93
    awa
    0.84
     Ottawa
    0.82
    sburgh
    0.82
     Centre
    0.78
     Gazette
    0.75
    VIDIA
    0.75
    arians
    0.73
    Activations Density 0.020%

    No Known Activations