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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. 9664
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    Explanations

    years specified in the future

    oai_token-act-pair · gpt-3.5-turbo
    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
    ¬¼
    -0.76
    ographed
    -0.68
     sympath
    -0.65
     ancest
    -0.62
     lately
    -0.59
    edIn
    -0.57
     contrasted
    -0.56
     alias
    -0.55
     testim
    -0.55
     anecdotal
    -0.54
    POSITIVE LOGITS
     2019
    1.05
     2021
    1.04
     2020
    0.99
     2025
    0.98
     hereafter
    0.94
     someday
    0.94
     onwards
    0.93
    2019
    0.93
    izons
    0.89
     2024
    0.87
    Activations Density 0.212%

    No Known Activations