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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 9930
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    Explanations

    dates represented in a specific format (day/month/year)

    oai_token-act-pair · gpt-3.5-turbo

    numeric data related to updates or versions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     sooner
    -0.74
     divest
    -0.69
     brim
    -0.68
     Rand
    -0.68
     Arabian
    -0.63
     boast
    -0.61
     guilt
    -0.61
     immortality
    -0.61
     shoulder
    -0.60
     lines
    -0.60
    POSITIVE LOGITS
    2018
    1.84
    2017
    1.77
    2016
    1.76
    2014
    1.74
    2012
    1.71
    2013
    1.71
    2015
    1.70
    2006
    1.65
    2004
    1.62
    2011
    1.62
    Activations Density 0.035%

    No Known Activations