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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. 1-RES-JB
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    Explanations

    related to time references, specifically the usage of "mid-[year/decade]" format

    oai_token-act-pair · gpt-3.5-turbo

    references to a specific time period in the middle of decades

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Merch
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    naires
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     VIDEOS
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    aughs
    -0.63
     Proposition
    -0.62
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     Laugh
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    POSITIVE LOGITS
    mid
    1.06
     mids
    1.02
    iors
    0.95
     mid
    0.93
    ummer
    0.90
    umbnail
    0.85
    cellaneous
    0.84
    -'
    0.82
    ppy
    0.82
    cture
    0.81
    Activations Density 0.010%

    No Known Activations