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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. 0-RES-JB
    11. 2525
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    Explanations

    references to financial matters or activities

    oai_token-act-pair · gpt-3.5-turbo

    references to financial topics and conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bringer
    -0.72
    ERT
    -0.70
     Category
    -0.69
    iable
    -0.67
    Wave
    -0.65
     silent
    -0.63
     Feature
    -0.62
    phy
    -0.62
    osi
    -0.62
     Peak
    -0.61
    POSITIVE LOGITS
     finances
    3.10
     budgets
    1.22
     coffers
    1.14
     funds
    1.05
     beginnings
    1.05
     incomes
    1.04
     finance
    1.03
     morals
    1.02
     taxes
    1.01
     affairs
    0.98
    Activations Density 0.011%

    No Known Activations