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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. 2-RES-JB
    11. 5701
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    Explanations

    references to laborers or employees

    oai_token-act-pair · gpt-3.5-turbo

    references to workers and worker-related issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rawdownloadcloneembedreportprint
    -0.77
    olic
    -0.73
     Geo
    -0.73
     venerable
    -0.72
    laus
    -0.70
     Spot
    -0.69
     Bald
    -0.66
    ãĤ¦ãĤ¹
    -0.64
    osp
    -0.63
    forth
    -0.62
    POSITIVE LOGITS
    folk
    1.08
    hops
    1.06
    paces
    1.01
    workers
    0.90
     ants
    0.87
    worker
    0.87
     employed
    0.80
     workers
    0.79
    uggest
    0.78
    pace
    0.77
    Activations Density 0.029%

    No Known Activations