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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. 9403
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    Explanations

    dates in a particular format

    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks, specifically commas

    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
    Not in Any Lists

    No Comments

    Negative Logits
     expansions
    -0.70
     corridors
    -0.68
     boosters
    -0.66
     predec
    -0.66
     detectors
    -0.65
     secretaries
    -0.62
     marines
    -0.59
    chwitz
    -0.59
     reductions
    -0.57
     expansion
    -0.57
    POSITIVE LOGITS
     2017
    1.20
     2015
    1.15
     2016
    1.14
     2014
    1.11
     2018
    1.09
     2013
    1.04
     2012
    1.00
    2015
    0.96
     2010
    0.96
     2011
    0.93
    Activations Density 0.033%

    No Known Activations