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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. 2178
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    Explanations

    words related to employment and related topics such as job training and discrimination in the workplace

    oai_token-act-pair · gpt-3.5-turbo

    terms related to employment

    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
    sonian
    -0.79
    ifiers
    -0.72
    rx
    -0.68
    olid
    -0.65
     Bundy
    -0.65
    trop
    -0.65
     Mosque
    -0.64
    ervative
    -0.63
     Revision
    -0.63
    aque
    -0.63
    POSITIVE LOGITS
     unions
    0.93
     secretaries
    0.86
     opportunities
    0.86
    ment
    0.81
     employment
    0.77
    avement
    0.76
    rights
    0.76
     ethic
    0.75
     welfare
    0.75
     mobility
    0.74
    Activations Density 0.023%

    No Known Activations