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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. 14708
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    Explanations

    words related to workplace issues and environment

    oai_token-act-pair · gpt-3.5-turbo

    references to the workplace

    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
    iasis
    -0.75
    ás
    -0.72
    adoes
    -0.72
    ados
    -0.72
    aciously
    -0.71
    staking
    -0.67
    iph
    -0.65
    oline
    -0.64
    kish
    -0.64
    lust
    -0.63
    POSITIVE LOGITS
     workplace
    0.78
     ethic
    0.75
     environment
    0.75
     wellness
    0.73
     workplaces
    0.71
     Advantage
    0.68
     Employment
    0.67
    bench
    0.66
     unions
    0.66
     casualty
    0.65
    Activations Density 0.014%

    No Known Activations