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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. 8-RES-JB
    11. 8214
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    Explanations

    specific names of individuals and possibly their titles

    oai_token-act-pair · gpt-3.5-turbo

    names of people, specifically indicating their significance or roles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    DragonMagazine
    -0.77
    BOOK
    -0.70
    above
    -0.70
    displayText
    -0.68
    Reviewer
    -0.64
     besides
    -0.62
     definitively
    -0.61
    =>
    -0.61
     definitely
    -0.59
    âĢİ
    -0.59
    POSITIVE LOGITS
     Vand
    0.93
     Wagner
    0.88
     McK
    0.88
     Amos
    0.87
     Zup
    0.86
     Cummings
    0.86
     Hayes
    0.86
     Sch
    0.86
     Vander
    0.85
     Marino
    0.85
    Activations Density 0.267%

    No Known Activations