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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. 7-RES-JB
    6. 5609
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    INDEX
    Explanations

    the concept of fairness

    oai_token-act-pair · gpt-3.5-turbo

    references to fairness in trials and opportunities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    CHAT
    -0.82
    apse
    -0.79
    hent
    -0.72
    uality
    -0.69
    OPLE
    -0.68
    cano
    -0.67
    FN
    -0.63
    Ultra
    -0.63
    OUS
    -0.61
    clips
    -0.61
    POSITIVE LOGITS
    grounds
    1.22
    yt
    1.20
    ground
    0.98
    fair
    0.89
    child
    0.88
    iciary
    0.82
    abouts
    0.81
     fair
    0.76
    parency
    0.76
    ies
    0.76
    Activations Density 0.023%

    No Known Activations