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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. 4320
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    Explanations

    words related to workplace issues or conditions

    oai_token-act-pair · gpt-3.5-turbo

    themes related to the workplace and employment issues

    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
    quet
    -0.79
    ados
    -0.72
    ás
    -0.69
    beam
    -0.69
    iasis
    -0.69
    oline
    -0.66
    inet
    -0.65
    adoes
    -0.65
    kish
    -0.64
    olid
    -0.63
    POSITIVE LOGITS
     ethic
    0.75
     wellness
    0.74
     Advantage
    0.71
     hazard
    0.69
    urized
    0.67
     environment
    0.67
     erg
    0.66
     grievance
    0.66
    Safety
    0.65
     disciplinary
    0.65
    Activations Density 0.018%

    No Known Activations