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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
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    Explanations

    references to employers and employment-related terms

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the term "employer."

    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
    ioxide
    -0.66
     Strait
    -0.65
    agra
    -0.64
     Revival
    -0.62
    range
    -0.62
    yss
    -0.62
     BST
    -0.62
    math
    -0.61
     Cart
    -0.59
     sheer
    -0.58
    POSITIVE LOGITS
    employ
    0.99
     Employ
    0.92
     unions
    0.84
     employer
    0.83
     employers
    0.78
    avement
    0.77
    hetical
    0.77
    Registered
    0.75
    aved
    0.75
    Employ
    0.75
    Activations Density 0.018%

    No Known Activations