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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. 1-RES-JB
    11. 21527
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    Explanations

    dates written in the format "Month Day"

    oai_token-act-pair · gpt-3.5-turbo

    references to specific dates in April

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    perm
    -0.75
    atem
    -0.72
    ebook
    -0.68
    educ
    -0.68
    ROR
    -0.67
    umbn
    -0.64
    estern
    -0.62
    uden
    -0.61
    ylum
    -0.60
    atic
    -0.60
    POSITIVE LOGITS
     Fool
    1.02
    eteenth
    0.90
     2015
    0.89
     2018
    0.87
     2019
    0.85
     2017
    0.84
    flower
    0.83
     April
    0.82
     2014
    0.81
    nard
    0.81
    Activations Density 0.015%

    No Known Activations