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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. 0-RES-JB
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    INDEX
    Explanations

    mentions of lobbyists or lobbying activities

    oai_token-act-pair · gpt-3.5-turbo

    references to lobbyists and their activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    series
    -0.71
     undertaking
    -0.68
     boarding
    -0.64
    ural
    -0.63
     outing
    -0.63
     thorough
    -0.63
     enqu
    -0.61
     reconstruct
    -0.61
    rive
    -0.61
     posting
    -0.61
    POSITIVE LOGITS
     lobbyists
    3.39
     lobbyist
    3.09
     Lobby
    1.51
     lobb
    1.45
     CEOs
    1.24
     lobby
    1.23
     ALEC
    1.20
     consultants
    1.19
     bureaucrats
    1.18
     Legisl
    1.17
    Activations Density 0.033%

    No Known Activations