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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. 4-RES-JB
    11. 10917
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    Explanations

    industrial sectors or areas of work

    oai_token-act-pair · gpt-3.5-turbo

    references to various industries

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    raid
    -0.66
    agin
    -0.66
     Riders
    -0.66
     bluff
    -0.65
    idan
    -0.63
    onement
    -0.63
    agle
    -0.60
     Kiev
    -0.60
    packed
    -0.60
    script
    -0.59
    POSITIVE LOGITS
    mith
    0.94
     sectors
    0.92
    folk
    0.89
     industries
    0.89
    chool
    0.87
    hops
    0.85
    afety
    0.83
    cience
    0.77
    ynt
    0.74
    ynthesis
    0.73
    Activations Density 0.031%

    No Known Activations