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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. 11566
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    Explanations

    years or date ranges

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of dates and numerical data

    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
    YL
    -0.71
    Catholic
    -0.67
    Ax
    -0.62
     Reporter
    -0.62
    tons
    -0.61
    onym
    -0.61
    âĸ¬
    -0.61
    ensical
    -0.60
    mr
    -0.60
    UGH
    -0.59
    POSITIVE LOGITS
     2022
    1.18
     2020
    1.16
     2019
    1.12
     2030
    1.11
     2024
    1.11
     2010
    1.07
     2012
    1.06
     2014
    1.06
     2013
    1.04
     2002
    1.04
    Activations Density 0.187%

    No Known Activations