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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. 3-RES-JB
    11. 4209
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    Explanations

    words related to illegal or unethical activities

    oai_token-act-pair · gpt-3.5-turbo

    words related to deception or dishonesty

    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
    FontSize
    -0.78
    ERN
    -0.73
    SUP
    -0.70
     PRESS
    -0.69
    PET
    -0.67
    CPU
    -0.67
    anus
    -0.63
    rogens
    -0.63
    È
    -0.63
     Henri
    -0.63
    POSITIVE LOGITS
    uthor
    0.85
     Enforcement
    0.72
     Trading
    0.72
     dealings
    0.71
    ishly
    0.70
    lig
    0.69
    bidden
    0.68
     Warfare
    0.67
     Banking
    0.67
    ness
    0.66
    Activations Density 0.110%

    No Known Activations