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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. 15329
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    Explanations

    dates expressed with month and year

    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 @ 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
    opic
    -0.90
     attachments
    -0.65
     predec
    -0.65
     liner
    -0.64
     patriarch
    -0.63
     diaper
    -0.61
     brace
    -0.60
     resemb
    -0.60
    ufact
    -0.60
    Attributes
    -0.59
    POSITIVE LOGITS
     2018
    1.09
     âĶľ
    1.07
     2017
    1.06
     2015
    1.05
     2016
    1.02
     2014
    1.00
     2013
    0.99
     2011
    0.94
     2012
    0.93
     2019
    0.92
    Activations Density 0.041%

    No Known Activations