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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. 23120
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    Explanations

    explicit mentions of suffering

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of suffering

    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
    cle
    -0.63
    ococ
    -0.63
    ioch
    -0.62
    eton
    -0.62
    RAFT
    -0.62
    cop
    -0.61
    bidden
    -0.61
    uren
    -0.57
    smoking
    -0.57
    law
    -0.57
    POSITIVE LOGITS
    lehem
    0.95
     inflicted
    0.87
     suffered
    0.82
    lessly
    0.82
     Palest
    0.81
     suffering
    0.78
    ansson
    0.74
    hani
    0.74
     endured
    0.73
     setbacks
    0.71
    Activations Density 0.018%

    No Known Activations