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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. 0-RES-JB
    11. 16888
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    Explanations

    references to the action of importation

    oai_token-act-pair · gpt-3.5-turbo

    references to imported goods or products

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    vind
    -0.77
    agh
    -0.70
    dis
    -0.69
    mg
    -0.66
    eth
    -0.66
    writing
    -0.66
     Nerd
    -0.66
    externalActionCode
    -0.65
    yss
    -0.64
    VO
    -0.64
    POSITIVE LOGITS
     imported
    3.65
     imports
    2.47
     exported
    2.34
     importing
    2.21
     exporting
    1.62
     homegrown
    1.47
     smuggled
    1.40
     domestically
    1.40
     locally
    1.38
     foreigners
    1.28
    Activations Density 0.017%

    No Known Activations