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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. 11-RES-JB
    11. 13750
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    Explanations

    mentions of legal and governmental terms and processes

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to legal or governmental processes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    enty
    -0.84
     luckily
    -0.82
    revolution
    -0.80
    ̶
    -0.75
     fortunately
    -0.73
    eat
    -0.72
     Thankfully
    -0.72
     instinctively
    -0.72
     Luckily
    -0.71
    Luckily
    -0.71
    POSITIVE LOGITS
     submissions
    1.30
     applications
    1.29
     petitions
    1.22
     applicant
    1.22
     application
    1.21
     certificates
    1.19
     proposals
    1.15
     amendments
    1.15
     affidav
    1.12
     documents
    1.12
    Activations Density 0.423%

    No Known Activations