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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 8303
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    INDEX
    Explanations

    terms related to lobbying activities, including spending, efforts, and entities involved in lobbying

    oai_token-act-pair · gpt-3.5-turbo

    terms related to lobbying activities and expenditures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    fal
    -0.89
     Carbuncle
    -0.87
    esm
    -0.79
     Reincarn
    -0.79
    bridge
    -0.73
    ãĤ¨ãĥ«
    -0.72
    sequ
    -0.70
    resp
    -0.70
    launch
    -0.68
    hair
    -0.67
    POSITIVE LOGITS
     lobbying
    0.98
     lobb
    0.89
     lobby
    0.84
    uppet
    0.84
     lobbied
    0.83
     furiously
    0.78
     sponsoring
    0.74
     lobbyist
    0.73
     cens
    0.73
     firms
    0.72
    Activations Density 0.033%

    No Known Activations