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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. 9-RES-JB
    11. 7323
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    Explanations

    dates given in the format month followed by a day, for example, "April 10" or "June 9"

    oai_token-act-pair · gpt-3.5-turbo

    dates mentioned in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     VIDEOS
    -0.82
    opic
    -0.82
    ufact
    -0.73
     diaper
    -0.71
     attachments
    -0.67
     ingred
    -0.67
     liner
    -0.66
     predec
    -0.66
     steroids
    -0.65
     streng
    -0.64
    POSITIVE LOGITS
     2017
    1.21
     2015
    1.19
     2014
    1.17
     2016
    1.16
     âĶľ
    1.15
     2018
    1.15
     2013
    1.14
     2012
    1.08
     2011
    1.05
     2010
    1.01
    Activations Density 0.036%

    No Known Activations