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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. 6-RES-JB
    11. 7286
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    Explanations

    phrases related to financial regulations and organizations

    oai_token-act-pair · gpt-3.5-turbo

    references to financial policies or programs

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Alchemist
    -0.82
    taboola
    -0.75
    hold
    -0.75
    ãĤ¤ãĥĪ
    -0.72
    vier
    -0.70
    Accessory
    -0.70
     Universities
    -0.70
    âĹ¼
    -0.68
    swick
    -0.68
     Schwarzenegger
    -0.65
    POSITIVE LOGITS
    odcast
    1.02
    raction
    0.99
    unction
    0.98
    ixel
    0.96
    rint
    0.94
    ools
    0.93
    requency
    0.92
    arser
    0.91
    acet
    0.90
    ython
    0.88
    Activations Density 0.025%

    No Known Activations