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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. 7-RES-JB
    11. 14138
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    Explanations

    names of individuals, especially within the context of sports teams

    oai_token-act-pair · gpt-3.5-turbo

    lists of names or references to individuals

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    olate
    -0.70
    reference
    -0.63
    process
    -0.62
    abi
    -0.61
    ãĥ¼ãĤ¯
    -0.61
    technical
    -0.61
    advertisement
    -0.60
    ventional
    -0.60
    dependent
    -0.60
    conservancy
    -0.60
    POSITIVE LOGITS
     Cyr
    1.06
     Jr
    1.03
     etc
    0.93
     Richie
    0.86
     Lad
    0.85
     Sach
    0.85
     Dennis
    0.85
     Earl
    0.85
     Bobby
    0.84
     Quan
    0.83
    Activations Density 0.153%

    No Known Activations