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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. 4-RES-JB
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    Explanations

    concepts related to finance and economics

    oai_token-act-pair · gpt-3.5-turbo

    critical terms related to finance, health, and societal structures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    erker
    -0.60
    awaru
    -0.56
    ixties
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    Ö¼
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     Edmund
    -0.50
     Heller
    -0.49
    oneliness
    -0.49
     partName
    -0.48
     Gle
    -0.48
     Thur
    -0.48
    POSITIVE LOGITS
     securely
    0.60
    onto
    0.58
     ASAP
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    grade
    0.57
    fml
    0.56
    bucks
    0.56
    license
    0.56
    oops
    0.54
     someday
    0.54
     tomorrow
    0.54
    Activations Density 1.511%

    No Known Activations