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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. 8-RES-JB
    11. 24427
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    Explanations

    dates in the format month day, year

    oai_token-act-pair · gpt-3.5-turbo

    punctuation, specifically commas

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    plain
    -0.75
    rn
    -0.71
    ayette
    -0.70
    ocious
    -0.68
    irlf
    -0.66
    hur
    -0.65
    rial
    -0.65
    irie
    -0.65
    uffer
    -0.64
    Mex
    -0.64
    POSITIVE LOGITS
     2016
    1.24
     2017
    1.21
     2014
    1.18
     2015
    1.16
     2018
    1.15
     2010
    1.10
     2012
    1.10
     2013
    1.09
     2008
    1.02
     2011
    1.01
    Activations Density 0.027%

    No Known Activations