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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. 6-RES-JB
    11. 17831
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    Explanations

    phrases associated with workforce conditions and work environment

    oai_token-act-pair · gpt-3.5-turbo

    references to obligations and requirements related to structured activities or conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Tomorrow
    -0.68
    fuck
    -0.67
    Gamer
    -0.67
    Tonight
    -0.66
     nutshell
    -0.65
    Revolution
    -0.65
    terday
    -0.64
    amation
    -0.63
    prototype
    -0.63
    cember
    -0.62
    POSITIVE LOGITS
    entimes
    0.95
     spouses
    0.79
     lucrative
    0.78
     caregivers
    0.78
     routinely
    0.77
     costly
    0.76
     themselves
    0.76
     employers
    0.75
     subsidized
    0.74
     unregulated
    0.73
    Activations Density 1.468%

    No Known Activations