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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
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    Explanations

    phrases related to suffering or experiencing hardships

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "suffered" and its context indicating various forms of distress or hardship

    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
     editing
    -0.67
     transparency
    -0.66
     Hatch
    -0.60
     Techn
    -0.59
     GTA
    -0.59
     apex
    -0.59
     Creat
    -0.57
     annotation
    -0.57
     background
    -0.57
     clicking
    -0.57
    POSITIVE LOGITS
     suffered
    3.41
     endured
    2.24
     suffers
    2.23
     suffer
    1.89
     underwent
    1.79
     inflicted
    1.76
     incurred
    1.72
     succumbed
    1.65
     struggled
    1.61
     undergone
    1.59
    Activations Density 0.014%

    No Known Activations