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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. 10-RES-JB
    11. 6072
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    Explanations

    Biblical references and citations

    oai_token-act-pair · gpt-3.5-turbo

    references to specific verses or passages in religious texts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    idays
    -0.64
     periodic
    -0.63
     stockpile
    -0.63
     independ
    -0.62
     loyal
    -0.61
     tradem
    -0.61
     emergencies
    -0.60
     workplace
    -0.59
     disposable
    -0.58
     stead
    -0.58
    POSITIVE LOGITS
     ff
    1.19
    ff
    1.04
     seq
    0.95
    –
    0.92
     âĨij
    0.92
     DOI
    0.92
     quoting
    0.92
     ISBN
    0.90
    âĵĺ
    0.86
     ESV
    0.86
    Activations Density 0.051%

    No Known Activations