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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. 10334
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    Explanations

    financial and regulatory terms

    oai_token-act-pair · gpt-3.5-turbo

    terms related to stress and failure in contexts of regulatory systems and biological processes

    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
    ©¶æ¥µ
    -0.62
     sleek
    -0.60
    assetsadobe
    -0.56
     millenn
    -0.56
     boutique
    -0.56
     playbook
    -0.55
    ¬¼
    -0.55
     rul
    -0.55
     classy
    -0.55
     indo
    -0.55
    POSITIVE LOGITS
    irable
    0.81
    ibly
    0.80
    urable
    0.73
     (%
    0.69
    able
    0.67
    ible
    0.62
    worthy
    0.61
    ificantly
    0.60
    ateral
    0.60
    ometric
    0.60
    Activations Density 0.938%

    No Known Activations