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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. 0-RES-JB
    11. 16561
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    Explanations

    mentions of religious figures, specifically priests

    oai_token-act-pair · gpt-3.5-turbo

    references to priests and related concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    assetsadobe
    -0.75
     Track
    -0.73
     Canad
    -0.72
    Track
    -0.72
    edge
    -0.71
    bang
    -0.69
    ï¸
    -0.67
    clud
    -0.67
     Alaska
    -0.66
     Burr
    -0.66
    POSITIVE LOGITS
     priests
    3.50
     priest
    3.45
     Priest
    2.48
     priesthood
    2.23
     clergy
    2.18
     bishop
    1.87
     clerics
    1.85
     bishops
    1.80
     Archbishop
    1.73
     cleric
    1.71
    Activations Density 0.012%

    No Known Activations