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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. 6-RES-JB
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    Explanations

    proper names related to places or people, like "Nottingham" and "Hoffman."

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific people and places, particularly those associated with the name Hoffman and Nottingham

    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
    nery
    -0.79
    ittal
    -0.76
    emate
    -0.73
    irection
    -0.73
     ç¥ŀ
    -0.73
    antic
    -0.73
    autical
    -0.72
    omaly
    -0.72
    ãģĨ
    -0.72
    tha
    -0.72
    POSITIVE LOGITS
    shire
    1.11
     Falls
    0.73
     Guth
    0.72
     Highland
    0.70
     bour
    0.69
     Brands
    0.68
    ees
    0.66
     Cros
    0.66
     Cumber
    0.65
     Hills
    0.64
    Activations Density 0.063%

    No Known Activations