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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. 11-RES-JB
    11. 4834
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    Explanations

    information related to various industries and professional services

    oai_token-act-pair · gpt-3.5-turbo

    keywords related to job sectors and employment statistics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     infall
    -0.67
     Pengu
    -0.66
    come
    -0.63
     Cursed
    -0.62
     Spiral
    -0.61
    REAM
    -0.61
    dden
    -0.60
     Stranger
    -0.59
    unal
    -0.59
    amaru
    -0.59
    POSITIVE LOGITS
     industries
    1.39
     sectors
    1.18
     sciences
    1.17
     commerce
    1.13
     manufacturing
    1.10
     occupations
    1.10
     services
    1.10
     professions
    1.08
     industry
    1.01
     sector
    1.01
    Activations Density 0.288%

    No Known Activations