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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. 19235
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    oai_token-act-pair · gpt-3.5-turbo

    mentions of social media platforms and related interactions

    oai_token-act-pair · gpt-4o-miniTriggered 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
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    No Comments

    Negative Logits
    ģĸ
    -0.63
     trance
    -0.60
     Appendix
    -0.60
    Redditor
    -0.59
     Canaver
    -0.58
     defaults
    -0.58
     incidentally
    -0.57
    asonic
    -0.56
     manual
    -0.56
     HSBC
    -0.56
    POSITIVE LOGITS
    905
    0.73
     toll
    0.71
     Toll
    0.70
     proble
    0.69
     pitcher
    0.67
    etooth
    0.67
    Staff
    0.67
     Trou
    0.67
    wic
    0.66
    ribune
    0.66
    Activations Density 0.113%

    No Known Activations