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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. 9-RES-JB
    11. 13766
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    INDEX
    Explanations

    mentions of workers in different contexts and situations

    oai_token-act-pair · gpt-3.5-turbo

    references to workers and their conditions in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    olic
    -0.78
    las
    -0.73
     Flavoring
    -0.70
     Ukrain
    -0.69
     Buckingham
    -0.68
     BCC
    -0.67
    osp
    -0.67
    MENTS
    -0.67
    croft
    -0.67
    raints
    -0.66
    POSITIVE LOGITS
    worker
    0.97
     ethic
    0.94
     unions
    0.93
    workers
    0.92
    paces
    0.88
     ants
    0.84
    hops
    0.83
     bees
    0.83
     employed
    0.83
     union
    0.83
    Activations Density 0.044%

    No Known Activations