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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. 3-RES-JB
    11. 13492
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    INDEX
    Explanations

    references to workers in a labor or job context

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "workers"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    laus
    -0.73
    olic
    -0.71
    forth
    -0.70
     Spot
    -0.69
     venerable
    -0.68
    MENTS
    -0.66
     Tet
    -0.66
    rawdownloadcloneembedreportprint
    -0.65
    osp
    -0.65
    raints
    -0.64
    POSITIVE LOGITS
    hops
    1.07
    paces
    1.01
    folk
    1.01
    worker
    0.93
    workers
    0.93
     ants
    0.93
    pace
    0.80
    geist
    0.79
     unions
    0.79
     workers
    0.79
    Activations Density 0.030%

    No Known Activations