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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. 1-RES-JB
    11. 21635
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    Explanations

    proper names, specifically the name "Shawn"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Shawn."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    gered
    -0.80
    âĶĢâĶĢ
    -0.78
    minist
    -0.76
    女
    -0.71
     Britann
    -0.70
    aced
    -0.70
    undai
    -0.69
    bably
    -0.67
    keley
    -0.67
    scill
    -0.66
    POSITIVE LOGITS
     Shawn
    1.10
     Michaels
    1.08
    sburg
    0.95
     Kemp
    0.94
    ville
    0.82
     Thornton
    0.80
     Dillon
    0.78
     Williamson
    0.77
     Lay
    0.77
    ees
    0.75
    Activations Density 0.004%

    No Known Activations