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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. 3-RES-JB
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    Explanations

    references to or mentions of the Federal Reserve

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the Federal Reserve

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    rave
    -0.75
     eminent
    -0.69
    Kate
    -0.69
    ãĤ¨ãĥ«
    -0.67
    akuya
    -0.67
     Ichigo
    -0.64
    Gi
    -0.64
    src
    -0.64
     Lucia
    -0.64
    advertising
    -0.62
    POSITIVE LOGITS
     Reserve
    1.26
     Bank
    0.96
    ollar
    0.87
     Depot
    0.87
     Banks
    0.82
     Banking
    0.80
     Loans
    0.78
     Scrolls
    0.78
    otonin
    0.77
     Commission
    0.74
    Activations Density 0.007%

    No Known Activations