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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. 3-RES-JB
    11. 8339
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    Explanations

    dates in the format "February X" where X is a number

    oai_token-act-pair · gpt-3.5-turbo

    dates in February

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     cumbers
    -0.79
    ocratic
    -0.70
    ullivan
    -0.69
    ioch
    -0.69
    uden
    -0.66
    alach
    -0.66
    Reviewer
    -0.65
    ollow
    -0.64
    chwitz
    -0.64
     behavi
    -0.64
    POSITIVE LOGITS
     2019
    1.02
     2015
    0.98
     2017
    0.98
     2018
    0.96
     2016
    0.96
     2021
    0.91
     2014
    0.90
    ruary
    0.88
     2013
    0.86
     2024
    0.85
    Activations Density 0.011%

    No Known Activations