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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. 3-RES-JB
    6. 11453
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    INDEX
    Explanations

    words related to being impartial or unbiased

    oai_token-act-pair · gpt-3.5-turbo

    terms related to fairness and impartiality

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    âĹ¼
    -0.92
    Phones
    -0.76
    Requires
    -0.75
     Roses
    -0.75
    ORN
    -0.75
    RAM
    -0.73
    Baby
    -0.73
     =================================
    -0.71
    clamation
    -0.71
    Fly
    -0.70
    POSITIVE LOGITS
     impartial
    1.30
     unbiased
    1.02
     observer
    1.02
    icial
    0.88
     observers
    0.87
    iciary
    0.86
     bystand
    0.84
    ity
    0.82
     arbit
    0.81
     spectator
    0.78
    Activations Density 0.014%

    No Known Activations