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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. 8-RES-JB
    11. 11341
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    Explanations

    phrases related to intense pain and suffering related to medical conditions or human experiences

    oai_token-act-pair · gpt-3.5-turbo

    expressions of human suffering

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    leans
    -0.74
    ioch
    -0.73
    reek
    -0.69
     Collider
    -0.69
     lev
    -0.67
     cryptoc
    -0.66
    lav
    -0.65
    agall
    -0.64
    regor
    -0.63
    afort
    -0.62
    POSITIVE LOGITS
     endured
    1.06
     inflicted
    1.01
     plight
    0.97
     suffered
    0.84
     misery
    0.83
     suffering
    0.75
     Wage
    0.75
     anguish
    0.74
     miser
    0.74
    âĶĢâĶĢ
    0.73
    Activations Density 0.071%

    No Known Activations