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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. 9-RES-JB
    6. 8300
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    INDEX
    Explanations

    references to statistics or numerical figures in a financial context

    oai_token-act-pair · gpt-3.5-turbo

    terms and phrases related to time frames, particularly indicating previous years and quarters

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hyde
    -0.70
    ãĤ¤ãĥĪ
    -0.68
     abras
    -0.66
     resemb
    -0.65
     somew
    -0.62
     masc
    -0.62
     submar
    -0.61
    angers
    -0.61
    athe
    -0.60
     alot
    -0.60
    POSITIVE LOGITS
     fiscal
    1.28
     year
    1.03
     calendar
    1.02
     Fiscal
    1.01
     decade
    1.00
     quarter
    0.99
     recession
    0.91
     month
    0.89
     census
    0.88
     Census
    0.87
    Activations Density 0.204%

    No Known Activations