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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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    Explanations

    references to political figures and actions, specifically to lawmakers

    oai_token-act-pair · gpt-3.5-turbo

    references to government officials and legislative bodies

    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
     radiant
    -0.65
     Whilst
    -0.65
    ain
    -0.63
    âĸĪâĸĪ
    -0.62
    fleet
    -0.61
     whilst
    -0.61
     âĸĪ
    -0.61
    uin
    -0.60
    âĸĪâĸĪâĸĪâĸĪ
    -0.60
    Í
    -0.59
    POSITIVE LOGITS
     lawmakers
    3.40
     legislators
    2.93
     lawmaker
    2.35
     senators
    2.27
     politicians
    2.06
     policymakers
    2.06
     legislator
    1.98
     Legisl
    1.92
     MPs
    1.92
     legislatures
    1.79
    Activations Density 0.015%

    No Known Activations