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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. 9990
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    Explanations

    texts related to topics such as finance, music, company operations, technology, game playing, and medical sources

    oai_token-act-pair · gpt-3.5-turbo

    terms related to conflicts and controversies within financial or political contexts

    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
    Not in Any Lists

    No Comments

    Negative Logits
    —"
    -0.84
     quir
    -0.82
     sket
    -0.82
     twent
    -0.82
     indistinguishable
    -0.78
     scarcely
    -0.78
     acutely
    -0.77
     narrower
    -0.75
     thw
    -0.72
     prud
    -0.71
    POSITIVE LOGITS
     Lets
    1.24
    Therefore
    1.18
    Featured
    1.11
    Conclusion
    1.08
     Conclusion
    1.07
    Furthermore
    1.05
    Additionally
    1.05
     Additionally
    1.04
    However
    0.99
     Lastly
    0.98
    Activations Density 1.330%

    No Known Activations