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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. 18444
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    Explanations

    words related to financial and economic terms, such as "tax", "income", "economy", "unemployment"

    oai_token-act-pair · gpt-3.5-turbo

    statistical measures and financial concepts

    oai_token-act-pair · gpt-4o-miniTriggered 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
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    Negative Logits
     Berman
    -0.52
     lest
    -0.52
     extraord
    -0.52
     Trooper
    -0.51
     circa
    -0.49
     busted
    -0.47
     Byrd
    -0.47
     DOJ
    -0.47
     informant
    -0.46
     DEA
    -0.46
    POSITIVE LOGITS
    phabet
    0.69
    ė
    0.69
    Ă
    0.69
     RandomRedditor
    0.68
    ġ
    0.68
    Ĕ
    0.68
    č
    0.68
    Ğ
    0.68
    ÷
    0.68
    Ā
    0.68
    Activations Density 1.866%

    No Known Activations