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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. 0-RES-JB
    11. 23121
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    Explanations

    dates from the year 2015

    oai_token-act-pair · gpt-3.5-turbo

    references to the year 2015

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     weap
    -0.74
    zee
    -0.71
     eaves
    -0.66
    hyde
    -0.65
     hesitated
    -0.64
     penetrate
    -0.64
     penetrated
    -0.63
     guarding
    -0.62
     iod
    -0.62
    Reviewer
    -0.60
    POSITIVE LOGITS
     2015
    3.34
     2014
    2.85
     2016
    2.84
     2017
    2.68
     2013
    2.67
    2015
    2.57
     2012
    2.34
     2011
    2.34
     2018
    2.23
     2010
    2.21
    Activations Density 0.030%

    No Known Activations