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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. 1722
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    INDEX
    Explanations

    years expressed in the format "U.S." followed by a number

    oai_token-act-pair · gpt-3.5-turbo

    references to the U.S. government and its associated statistics and reports

    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
    azaar
    -0.72
    ebook
    -0.67
    ructure
    -0.66
    hid
    -0.64
    veyard
    -0.64
    zzle
    -0.63
    alys
    -0.63
    ription
    -0.62
    lass
    -0.62
    aird
    -0.62
    POSITIVE LOGITS
     Airways
    1.08
     taxpayers
    1.05
     Airlines
    1.04
     officials
    1.00
     embassies
    0.98
     diplomats
    0.98
     lawmakers
    0.98
     presidents
    0.96
     soil
    0.94
     citizens
    0.94
    Activations Density 0.088%

    No Known Activations