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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. 0-RES-JB
    11. 7720
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    Explanations

    words related to causing harm or damage

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to causing harm or injury

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     navig
    -0.72
    enary
    -0.66
    aux
    -0.65
     Initial
    -0.64
     elapsed
    -0.63
    vern
    -0.63
     altern
    -0.62
    ered
    -0.62
     onwards
    -0.62
     reference
    -0.61
    POSITIVE LOGITS
     hurting
    3.31
     harming
    2.77
     injuring
    1.87
     impacting
    1.73
     ruining
    1.69
     inflicting
    1.57
     benefiting
    1.56
     costing
    1.54
     hurts
    1.51
     affecting
    1.50
    Activations Density 0.023%

    No Known Activations