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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. 1-RES-JB
    11. 22660
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    Explanations

    words related to a physical location within a building where people gather or activities take place

    oai_token-act-pair · gpt-3.5-turbo

    references to lobbying activities and groups

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    orah
    -0.78
    forth
    -0.71
     Apostles
    -0.70
     Crus
    -0.69
    ebook
    -0.69
    arers
    -0.65
    DIT
    -0.63
     Carbuncle
    -0.62
    resp
    -0.62
    ndra
    -0.61
    POSITIVE LOGITS
     lobb
    1.34
     lobby
    1.31
     Lobby
    1.19
    creen
    0.82
     halls
    0.77
    naires
    0.76
     lobbying
    0.74
    busters
    0.73
    borough
    0.73
     lobbyists
    0.72
    Activations Density 0.008%

    No Known Activations