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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. 9-RES-JB
    11. 15836
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    references and further reading material

    oai_token-act-pair · gpt-3.5-turbo

    references and citations in a document

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    oÄŁ
    -0.74
    otos
    -0.71
    jri
    -0.68
    retty
    -0.68
    sets
    -0.65
     mates
    -0.65
    overs
    -0.61
    istically
    -0.60
    ignt
    -0.59
    pter
    -0.59
    POSITIVE LOGITS
    ource
    0.91
    âĨij
    0.84
     Citation
    0.83
    ibliography
    0.82
    afe
    0.81
     References
    0.80
     Edit
    0.79
     PubMed
    0.77
    <|endoftext|>
    0.74
    ystem
    0.74
    Activations Density 0.053%

    No Known Activations