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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. 17780
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    oai_token-act-pair · gpt-3.5-turbo

    references to astronomical observations and discoveries

    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
    Not in Any Lists

    No Comments

    Negative Logits
     Franchise
    -0.78
     franch
    -0.74
    incerity
    -0.74
    govtrack
    -0.74
     entitlement
    -0.72
     endors
    -0.70
     FTC
    -0.70
     discretionary
    -0.68
     DOJ
    -0.67
     Equity
    -0.67
    POSITIVE LOGITS
    Scientists
    1.19
     biologists
    1.19
     scientists
    1.17
     astronomers
    1.17
     geological
    1.15
     archaeologists
    1.10
     fossils
    1.10
     Scientists
    1.07
     Geological
    1.05
     mammal
    1.00
    Activations Density 1.733%

    No Known Activations