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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. 10-RES-JB
    11. 6375
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    Explanations

    web link patterns

    oai_token-act-pair · gpt-3.5-turbo

    various forms of URLs and web addresses

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     manif
    -0.61
     predec
    -0.60
     hindsight
    -0.57
     increments
    -0.55
     outl
    -0.55
     immersion
    -0.52
     assum
    -0.52
     unde
    -0.52
     numbered
    -0.52
     gau
    -0.51
    POSITIVE LOGITS
     âĢº
    0.82
    DragonMagazine
    0.79
     Mehran
    0.76
     ARTICLE
    0.72
     Quote
    0.70
     RELEASE
    0.68
     âĨij
    0.68
     Accessed
    0.66
     Flavoring
    0.66
     Joined
    0.65
    Activations Density 0.464%

    No Known Activations