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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. 5153
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    oai_token-act-pair · gpt-3.5-turbo

    references to publication dates and timelines in reports and articles

    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
    Not in Any Lists

    No Comments

    Negative Logits
     sacrific
    -0.74
     Conquer
    -0.68
     toast
    -0.65
     ancest
    -0.63
     funer
    -0.62
     PAT
    -0.60
     toget
    -0.59
     Plane
    -0.56
     Rebell
    -0.56
     catch
    -0.55
    POSITIVE LOGITS
     detailing
    0.97
     titled
    0.95
     outlining
    0.95
     revealing
    0.89
    PDF
    0.86
     entitled
    0.83
     headlined
    0.83
    irming
    0.80
     summar
    0.80
     documenting
    0.77
    Activations Density 0.145%

    No Known Activations