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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. 11-RES-JB
    11. 12756
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    Explanations

    dates and time-related information

    oai_token-act-pair · gpt-3.5-turbo

    specific dates and periods relevant to events or actions

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    ----
    -0.78
    �
    -0.76
    Hart
    -0.75
    ``
    -0.72
    arious
    -0.72
    --
    -0.71
    ------------------------
    -0.70
     floppy
    -0.69
     �
    -0.69
     ATI
    -0.67
    POSITIVE LOGITS
     2018
    2.28
     2017
    2.27
     2019
    2.26
    2017
    2.04
    2018
    1.97
     2021
    1.89
     2016
    1.88
     2020
    1.87
    2019
    1.71
    2016
    1.70
    Activations Density 0.220%

    No Known Activations