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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. 411
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    Explanations

    phrases related to following laws, rules, and regulations

    oai_token-act-pair · gpt-3.5-turbo

    statements regarding legal compliance and ethical standards

    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
     nostalgic
    -0.64
    gee
    -0.62
    rush
    -0.61
     latent
    -0.60
     nostalgia
    -0.60
     tantal
    -0.59
     pricey
    -0.58
     hitch
    -0.58
    ories
    -0.58
     spree
    -0.58
    POSITIVE LOGITS
     irrespective
    1.00
     regardless
    0.94
     respectfully
    0.92
     respecting
    0.86
     safegu
    0.85
     impartial
    0.84
     responsibly
    0.83
    respective
    0.83
     lawfully
    0.81
     lawful
    0.81
    Activations Density 0.877%

    No Known Activations