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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. 18057
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    Explanations

    references to ethical matters or ethical issues

    oai_token-act-pair · gpt-3.5-turbo

    references to ethical considerations and standards

    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
    âĢ¢âĢ¢âĢ¢âĢ¢
    -0.84
    Stock
    -0.79
    upt
    -0.78
    nant
    -0.75
    eworld
    -0.73
    aways
    -0.71
    ingham
    -0.70
     Raider
    -0.68
    swick
    -0.67
     Feld
    -0.66
    POSITIVE LOGITS
    onomic
    1.04
     ethics
    1.00
    onom
    0.82
    utics
    0.82
     Ethics
    0.82
     disclosure
    0.77
    uador
    0.76
    ethical
    0.76
     watchdog
    0.74
    ophical
    0.73
    Activations Density 0.010%

    No Known Activations