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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. 0-RES-JB
    6. 351
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    INDEX
    Explanations

    words related to disparities and discrepancies

    oai_token-act-pair · gpt-3.5-turbo

    terms related to inequality and differences between groups

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     sworn
    -0.69
    cend
    -0.68
     guided
    -0.66
    safe
    -0.63
     bark
    -0.63
     Kiss
    -0.63
     Commands
    -0.63
    assad
    -0.63
    help
    -0.62
    Tag
    -0.62
    POSITIVE LOGITS
     disparity
    3.01
     discrepancy
    2.88
     discrepancies
    2.68
     disparities
    2.54
     imbalance
    2.39
     mismatch
    2.09
     inconsistencies
    2.07
     inconsistency
    2.00
     disproportion
    1.96
     discrep
    1.92
    Activations Density 0.035%

    No Known Activations