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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. 8-RES-JB
    11. 6060
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    oai_token-act-pair · gpt-3.5-turbo

    references to additional information or sources

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     marching
    -0.59
     targeted
    -0.58
     telecommunications
    -0.58
     constituency
    -0.57
     rallying
    -0.57
     sights
    -0.56
     broadcasting
    -0.55
     thrott
    -0.54
     aiming
    -0.54
     barg
    -0.54
    POSITIVE LOGITS
     Conclusion
    0.86
    Conclusion
    0.78
    ________________
    0.78
     Delete
    0.75
     CONTIN
    0.72
    ________________________________
    0.72
    EDIT
    0.72
    edit
    0.71
    APTER
    0.70
    VERTISEMENT
    0.70
    Activations Density 0.523%

    No Known Activations