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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. 7-RES-JB
    11. 23950
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    Explanations

    industries and companies related to economics and finance

    oai_token-act-pair · gpt-3.5-turbo

    references to various industries, particularly those related to big business and corporations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ydia
    -0.76
     "$:/
    -0.75
    iversal
    -0.70
    canon
    -0.70
     Canon
    -0.67
    blance
    -0.67
    izoph
    -0.66
    erva
    -0.65
     Chand
    -0.64
    forth
    -0.64
    POSITIVE LOGITS
     lobbyists
    1.06
     lobbying
    0.94
     boycot
    0.94
     lobbyist
    0.92
     mogul
    0.91
     corporations
    0.91
     mog
    0.90
     CEOs
    0.90
     lobb
    0.89
     lobby
    0.88
    Activations Density 0.303%

    No Known Activations