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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. 10549
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    INDEX
    Explanations

    instances of the word "workers"

    oai_token-act-pair · gpt-3.5-turbo

    references to workers and their conditions

    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
     Ukrain
    -0.72
    olic
    -0.72
    croft
    -0.71
     Flavoring
    -0.71
    las
    -0.70
     Viz
    -0.69
    osp
    -0.67
    forth
    -0.67
     BCC
    -0.66
     Buckingham
    -0.66
    POSITIVE LOGITS
    worker
    1.06
    workers
    0.98
     ethic
    0.91
     unions
    0.90
     ants
    0.87
     workers
    0.86
     worker
    0.85
     employed
    0.84
     union
    0.83
    hops
    0.83
    Activations Density 0.045%

    No Known Activations