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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. 3-RES-JB
    11. 15375
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    Explanations

    words related to financial regulators and their actions

    oai_token-act-pair · gpt-3.5-turbo

    references to regulatory bodies and their activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lihood
    -0.93
    joy
    -0.75
     è£ıè
    -0.74
     Candle
    -0.70
     Hume
    -0.69
     Locke
    -0.68
     Sick
    -0.68
    vor
    -0.68
    Liber
    -0.68
     Voy
    -0.68
    POSITIVE LOGITS
     regulators
    1.11
     regulator
    1.11
    assetsadobe
    0.89
    alties
    0.82
     regulating
    0.81
     examiner
    0.81
     regulated
    0.79
     filings
    0.78
     breaker
    0.78
     levied
    0.78
    Activations Density 0.019%

    No Known Activations