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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. 22619
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    Explanations

    mentions of religious concepts

    oai_token-act-pair · gpt-3.5-turbo

    terms related to religion and religious 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
     Lans
    -0.84
    20439
    -0.80
     Runner
    -0.73
    xon
    -0.72
     Chase
    -0.71
    CAP
    -0.71
    Pool
    -0.70
     Chevy
    -0.69
     Hilton
    -0.68
     Tunnel
    -0.67
    POSITIVE LOGITS
     pilgrims
    0.94
     rites
    0.92
     scriptures
    0.88
     traditions
    0.88
     endeavour
    0.86
     illiter
    0.86
     ferv
    0.86
     circles
    0.86
     dogma
    0.85
     pilgr
    0.85
    Activations Density 0.019%

    No Known Activations