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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. 3977
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    Explanations

    dates mentioned, specifically focusing on the month of October

    oai_token-act-pair · gpt-3.5-turbo

    references to specific October dates

    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
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    Negative Logits
    fman
    -0.86
    cius
    -0.73
    kus
    -0.70
     VIDEOS
    -0.69
    vet
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    cci
    -0.68
    emort
    -0.68
    zon
    -0.66
    ELY
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    ever
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    POSITIVE LOGITS
     Surprise
    1.14
     2014
    0.80
    avia
    0.80
     2015
    0.80
     2017
    0.78
     2018
    0.78
    fair
    0.77
     2016
    0.75
     2012
    0.75
     2010
    0.75
    Activations Density 0.018%

    No Known Activations