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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. 8582
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    Explanations

    words indicating strictness or leniency in rules, regulations, or sentences

    oai_token-act-pair · gpt-3.5-turbo

    terms related to regulations and their severity

    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
    Not in Any Lists

    No Comments

    Negative Logits
     Stam
    -0.82
    Rus
    -0.78
    ĺħ
    -0.76
     Hiroshima
    -0.74
     Constantin
    -0.72
    Works
    -0.70
    rift
    -0.69
     Osh
    -0.69
    plane
    -0.69
    ools
    -0.68
    POSITIVE LOGITS
     stringent
    1.20
     restrictive
    1.19
     stricter
    0.98
     vetting
    0.96
     tougher
    0.91
     permitting
    0.90
     toug
    0.89
     rigorous
    0.85
     toughest
    0.85
     strict
    0.83
    Activations Density 0.013%

    No Known Activations