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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. 8-RES-JB
    11. 20117
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to health care topics and issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    selves
    -0.81
    urat
    -0.80
     IGN
    -0.77
    ãĤ¨ãĥ«
    -0.75
    ovie
    -0.73
    inates
    -0.70
    onym
    -0.70
    ãĥĥãĥī
    -0.69
     sqor
    -0.69
    iple
    -0.68
    POSITIVE LOGITS
     providers
    1.18
     provider
    1.08
     premiums
    0.98
     reform
    0.98
     affordability
    0.97
     insurance
    0.94
    giving
    0.94
     healthcare
    0.93
     utilization
    0.92
     reimbursement
    0.92
    Activations Density 0.050%

    No Known Activations