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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. 20159
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    Explanations

    terms related to employer-employee relationships and legal aspects such as workplace hazards, discrimination, and workplace accommodations

    oai_token-act-pair · gpt-3.5-turbo

    references to employers in various contexts

    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
    Not in Any Lists

    No Comments

    Negative Logits
    range
    -0.73
    20439
    -0.70
    yss
    -0.70
     sheer
    -0.66
     BST
    -0.66
    printed
    -0.63
    voy
    -0.62
     Strait
    -0.62
    pac
    -0.62
    Push
    -0.62
    POSITIVE LOGITS
    employ
    0.99
     Employ
    0.98
     employer
    0.95
     employers
    0.89
     unions
    0.83
    Employ
    0.77
    avement
    0.72
     advertis
    0.71
     Advantage
    0.71
    Registered
    0.70
    Activations Density 0.014%

    No Known Activations