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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. 475
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    Explanations

    statements made in a legal context, particularly within court proceedings

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "in" and references to legal contexts

    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
    FTWARE
    -0.77
     è£ıè¦ļéĨĴ
    -0.66
     Clock
    -0.63
    terday
    -0.62
     Seraph
    -0.61
    alach
    -0.61
     Nir
    -0.60
    soever
    -0.60
     Approximately
    -0.59
     Enjoy
    -0.58
    POSITIVE LOGITS
     advance
    1.03
     principle
    1.02
     court
    0.95
     writing
    0.92
    humane
    0.92
     affidav
    0.89
     retrospect
    0.89
     hindsight
    0.88
    clus
    0.87
     detail
    0.87
    Activations Density 0.154%

    No Known Activations