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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. 1-RES-JB
    11. 6590
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    Explanations

    words related to physical and emotional 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 @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    rouse
    -0.70
    cop
    -0.67
    RAFT
    -0.64
    laws
    -0.62
    cle
    -0.61
    gat
    -0.60
    avage
    -0.59
    appro
    -0.59
    law
    -0.57
    flush
    -0.57
    POSITIVE LOGITS
     suffering
    0.91
    lehem
    0.91
     horrend
    0.87
     inflicted
    0.85
     suffered
    0.82
     Palest
    0.79
     experien
    0.79
     traged
    0.74
     horribly
    0.74
    borough
    0.74
    Activations Density 0.007%

    No Known Activations