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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 1-RES-JB
    6. 14885
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    INDEX
    Explanations

    specific years mentioned, particularly focusing on the year 2019

    oai_token-act-pair · gpt-3.5-turbo

    the year 2019 and its contexts

    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
    arist
    -0.82
    riad
    -0.76
    onym
    -0.75
    onal
    -0.73
    onia
    -0.72
    adata
    -0.68
    ung
    -0.68
    ributed
    -0.67
    pat
    -0.67
    advert
    -0.66
    POSITIVE LOGITS
     2019
    1.07
    2019
    0.93
     2020
    0.87
     onwards
    0.84
     2021
    0.83
    isSpecialOrderable
    0.79
    ãģ®éŃĶ
    0.75
     TBD
    0.75
     2025
    0.73
     2018
    0.72
    Activations Density 0.004%

    No Known Activations