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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. 20003
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    Explanations

    references to religious practices and organizations

    oai_token-act-pair · gpt-3.5-turbo

    references to the Catholic Church and its practices

    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
    é¾
    -0.76
    SourceFile
    -0.72
     Rail
    -0.70
    runs
    -0.68
     Trout
    -0.67
    EStreamFrame
    -0.67
     Gw
    -0.67
     Bangl
    -0.67
     guiName
    -0.66
    à¸
    -0.65
    POSITIVE LOGITS
     bapt
    1.08
    byter
    1.05
     Scripture
    1.00
     baptism
    0.98
     theology
    0.95
     Sacrament
    0.95
     Scriptures
    0.95
     XVI
    0.95
     Vatican
    0.94
     Benedict
    0.94
    Activations Density 0.189%

    No Known Activations