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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. 10-RES-JB
    6. 7734
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    INDEX
    Explanations

    information related to specific numbers and statistics

    oai_token-act-pair · gpt-3.5-turbo

    punctuation and numerical statistics related to social issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    wcsstore
    -0.79
    tnc
    -0.77
     dimensional
    -0.76
     complimentary
    -0.76
     compliment
    -0.65
     gentlemen
    -0.65
     bang
    -0.64
     gol
    -0.64
     loaf
    -0.64
     mate
    -0.64
    POSITIVE LOGITS
     Approximately
    1.28
     Nearly
    1.24
     About
    1.12
     Tens
    1.11
     Estimates
    1.11
     Rough
    1.11
    Nearly
    1.09
     Millions
    1.07
     Thousands
    1.06
     Hundreds
    1.06
    Activations Density 0.396%

    No Known Activations