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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. 11-RES-JB
    6. 2795
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    Explanations

    dates expressed in the format "month day, year"

    oai_token-act-pair · gpt-3.5-turbo

    dates and numerical information related to events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    everal
    -0.98
    senal
    -0.90
     tremend
    -0.90
    ccording
    -0.86
    aditional
    -0.85
     cumbers
    -0.82
     streng
    -0.82
    ensical
    -0.82
     exha
    -0.82
    oreAnd
    -0.80
    POSITIVE LOGITS
     2017
    1.06
     2016
    1.01
     2018
    1.00
     2014
    1.00
     2015
    0.98
     2010
    0.90
     2013
    0.90
     2012
    0.84
     2011
    0.81
     201
    0.81
    Activations Density 0.042%

    No Known Activations