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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. 12-RES-JB
    11. 4914
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    INDEX
    Explanations

    information related to the importation of products

    oai_token-act-pair · gpt-3.5-turbo
    Triggered by @bot

    quantities and descriptions related to imports and economic conditions

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    vier
    -0.78
    IJ
    -0.78
    LER
    -0.75
    miah
    -0.73
    oti
    -0.70
    ={
    -0.69
    zar
    -0.66
    ¯¯
    -0.65
    IFA
    -0.63
    nin
    -0.63
    POSITIVE LOGITS
     attributable
    0.97
     devoted
    0.94
     located
    0.91
     concentrated
    0.89
     clustered
    0.88
     comprised
    0.87
     done
    0.84
    awaru
    0.83
     gone
    0.83
     attributed
    0.83
    Activations Density 0.219%

    No Known Activations