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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. 10240
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    Explanations

    words related to exerting pressure or stress on individuals or entities

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate pressure or stress on entities or systems

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    aces
    -0.77
    onym
    -0.76
    uchs
    -0.76
    ALS
    -0.75
    anuts
    -0.74
    icter
    -0.72
    nings
    -0.71
    ynski
    -0.70
    chwitz
    -0.68
    ohn
    -0.68
    POSITIVE LOGITS
    erous
    1.12
     budgets
    0.99
     morale
    0.90
     shoulders
    0.86
     employers
    0.86
     policymakers
    0.84
     governments
    0.83
     sellers
    0.82
     landlords
    0.81
     automakers
    0.79
    Activations Density 0.167%

    No Known Activations