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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. 6-RES-JB
    11. 4347
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    Explanations

    specific references to various religious institutions

    oai_token-act-pair · gpt-3.5-turbo

    references to specific religious institutions and denominations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    motion
    -0.86
    ĸļ
    -0.79
    Downloadha
    -0.77
    ipel
    -0.76
    ilib
    -0.74
    effic
    -0.73
    uffy
    -0.73
    wire
    -0.67
     sequencing
    -0.67
    usercontent
    -0.67
    POSITIVE LOGITS
     Latter
    1.00
     Judaism
    1.00
     Methodist
    0.95
     Baptist
    0.91
     nuns
    0.90
     Lutheran
    0.85
     Protestant
    0.84
     theology
    0.83
     worship
    0.83
     Churches
    0.80
    Activations Density 0.337%

    No Known Activations