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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. 9-RES-JB
    11. 24314
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    Explanations

    phrases related to laws, regulations, and political actions

    oai_token-act-pair · gpt-3.5-turbo

    references to regulations and their impact on the environment and public health

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     somet
    -0.74
     VIDEOS
    -0.70
     Lifetime
    -0.69
     DOES
    -0.62
     english
    -0.61
     twitter
    -0.61
     smiles
    -0.60
    UAL
    -0.60
     FANTASY
    -0.60
     NEWS
    -0.60
    POSITIVE LOGITS
     previously
    0.81
     otherwise
    0.78
    needed
    0.76
     formerly
    0.75
     overseen
    0.75
    essential
    0.74
     feared
    0.74
     oversee
    0.73
     deem
    0.72
     linked
    0.72
    Activations Density 0.461%

    No Known Activations