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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. 9-RES-JB
    11. 9073
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    Explanations

    date references in specific formats

    oai_token-act-pair · gpt-3.5-turbo

    references to time periods, specifically "last year" and "this year."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Flavoring
    -0.68
     VIDEOS
    -0.63
    ilater
    -0.62
    vae
    -0.61
     popcorn
    -0.60
     Genie
    -0.60
     asphalt
    -0.59
    hetti
    -0.58
    pread
    -0.56
    akeru
    -0.56
    POSITIVE LOGITS
     year
    1.00
     2017
    0.84
     2018
    0.79
    2017
    0.78
     Year
    0.78
     2016
    0.73
     2015
    0.72
     yr
    0.71
     calendar
    0.69
    year
    0.69
    Activations Density 0.047%

    No Known Activations