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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. 8-RES-JB
    11. 571
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    Explanations

    mentions of recurring time periods such as "weekly" or "monthly."

    oai_token-act-pair · gpt-3.5-turbo

    mentions of regular time intervals for events or publications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ghazi
    -0.94
    lda
    -0.87
    achev
    -0.87
    ifice
    -0.85
    phal
    -0.85
    enes
    -0.83
    illard
    -0.82
    wright
    -0.82
    dinand
    -0.80
    holes
    -0.78
    POSITIVE LOGITS
     installments
    1.09
     newsletter
    1.02
     specials
    0.96
     newsletters
    0.94
     roundup
    0.94
     subscription
    0.90
     occurrence
    0.88
     bulletin
    0.87
     crop
    0.87
     publication
    0.85
    Activations Density 0.053%

    No Known Activations