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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
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    Explanations

    mentions of regulations and regulatory processes

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "regulation" and related discussions in a text

    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
    lihood
    -0.98
    stone
    -0.85
    gets
    -0.76
     Lakes
    -0.69
    ker
    -0.68
    ience
    -0.67
    joy
    -0.66
     Sul
    -0.65
    minster
    -0.65
     Fab
    -0.64
    POSITIVE LOGITS
     regulation
    0.97
     promulg
    0.90
     enforcement
    0.84
     regulate
    0.84
    ategory
    0.82
     legisl
    0.80
     regulated
    0.80
    ulkan
    0.80
    jriwal
    0.79
     regulators
    0.79
    Activations Density 0.009%

    No Known Activations