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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. 4890
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    Explanations

    descriptions related to monuments and symbols, particularly emphasizing military significance

    oai_token-act-pair · gpt-3.5-turbo

    references to significant events or issues related to social justice and discrimination

    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
    Not in Any Lists

    No Comments

    Negative Logits
     UNCLASSIFIED
    -0.77
     anecd
    -0.76
     pse
    -0.70
     unden
    -0.63
     rhet
    -0.61
     millenn
    -0.61
    theless
    -0.58
     enthusi
    -0.58
     skelet
    -0.58
     Azerb
    -0.57
    POSITIVE LOGITS
     Donald
    0.70
     Adolf
    0.66
     transgender
    0.61
     ObamaCare
    0.60
    âĢİ
    0.60
     allegedly
    0.57
     Hillary
    0.56
     cryptocurrency
    0.56
    ADVERTISEMENT
    0.54
    Brexit
    0.53
    Activations Density 2.474%

    No Known Activations