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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. 21666
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    Explanations

    mentions implying holding law enforcement accountable

    oai_token-act-pair · gpt-3.5-turbo

    the occurrences of the word "is"

    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
     Heist
    -0.69
     Spray
    -0.67
     override
    -0.64
    isions
    -0.63
     Lauder
    -0.63
     Mayer
    -0.62
     Tours
    -0.61
     Trends
    -0.60
     Include
    -0.59
    roups
    -0.59
    POSITIVE LOGITS
    been
    1.15
     gonna
    1.02
     been
    1.01
     got
    0.94
     gotten
    0.94
     proud
    0.88
     gotta
    0.88
     glad
    0.87
    gotten
    0.86
     willing
    0.85
    Activations Density 0.075%

    No Known Activations