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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. 4-RES-JB
    11. 15751
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    Explanations

    Biblical references, specifically from the Gospels

    oai_token-act-pair · gpt-3.5-turbo

    references to religious texts and their authors

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

    No Comments

    Negative Logits
    jri
    -0.85
    osponsors
    -0.83
    bledon
    -0.75
    leneck
    -0.73
    ktop
    -0.71
    raviolet
    -0.71
    ensable
    -0.69
    ividual
    -0.68
    gain
    -0.68
    erate
    -0.67
    POSITIVE LOGITS
     manuscripts
    1.00
     texts
    0.99
     Interpret
    0.97
     scriptures
    0.93
     narrated
    0.91
     verse
    0.91
     quotations
    0.89
     Romans
    0.88
     mythology
    0.87
     rewritten
    0.86
    Activations Density 0.130%

    No Known Activations