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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. 4-RES-JB
    11. 15792
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    Explanations

    concepts related to ethical principles such as fairness, decency, and impartiality

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to fairness and justice

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

    No Comments

    Negative Logits
    oan
    -0.74
    ergy
    -0.73
    FU
    -0.72
    oval
    -0.68
    Jacob
    -0.66
    raine
    -0.66
    vik
    -0.65
    arte
    -0.64
    inis
    -0.63
    agne
    -0.63
    POSITIVE LOGITS
    cipled
    0.98
    icial
    0.95
     fairness
    0.95
    acies
    0.93
    iciary
    0.91
     parity
    0.86
    ilege
    0.84
    parency
    0.81
    erence
    0.78
    saf
    0.77
    Activations Density 0.014%

    No Known Activations