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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 15195
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    Explanations

    legal terms and allegations in a text

    oai_token-act-pair · gpt-3.5-turbo

    elements related to legal charges and allegations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     goofy
    -1.00
     colorful
    -0.93
     fueling
    -0.92
     badass
    -0.89
     favorites
    -0.89
     centers
    -0.88
     favorite
    -0.87
    Enlarge
    -0.86
     fueled
    -0.83
     someday
    -0.82
    POSITIVE LOGITS
     appellant
    1.39
     Whilst
    1.39
     enqu
    1.36
     authorised
    1.35
     complainant
    1.33
     offences
    1.31
     Defendant
    1.25
     secondly
    1.22
     £
    1.20
     solicitor
    1.19
    Activations Density 1.325%

    No Known Activations