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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. 10-RES-JB
    11. 8112
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    Explanations

    references to lies or falsehoods

    oai_token-act-pair · gpt-3.5-turbo

    references to dishonesty or deception, particularly the word "lie."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     nomine
    -0.74
    iaries
    -0.73
     AVG
    -0.72
    orsi
    -0.69
    aldi
    -0.67
    alos
    -0.64
    ILE
    -0.64
    romeda
    -0.64
    ELF
    -0.62
    ONES
    -0.62
    POSITIVE LOGITS
    uten
    1.37
     detector
    1.31
    utenant
    1.23
     detectors
    0.98
    glers
    0.91
    berman
    0.90
    ge
    0.90
    bling
    0.88
     dormant
    0.84
    pard
    0.83
    Activations Density 0.019%

    No Known Activations