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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. 4-RES-JB
    11. 9755
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    Explanations

    references to the country of Thailand

    oai_token-act-pair · gpt-3.5-turbo

    mentions of Thailand and Thai-related references

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     Lazarus
    -0.82
    eer
    -0.79
    ships
    -0.79
    pring
    -0.75
    ucl
    -0.71
    bolt
    -0.71
    Tokens
    -0.71
    BAT
    -0.70
    ellen
    -0.70
     Crow
    -0.70
    POSITIVE LOGITS
    ailand
    0.98
     Airways
    0.84
    uran
    0.82
     clinch
    0.78
     Thailand
    0.77
    arma
    0.76
     Lumpur
    0.75
     Thai
    0.75
     Nguyen
    0.74
    nown
    0.74
    Activations Density 0.017%

    No Known Activations