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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. 8-RES-JB
    11. 9841
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    Explanations

    phrases related to moral principles or ethical considerations

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating conditions or requirements for safety and living arrangements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ces
    -0.68
     whipped
    -0.62
    kered
    -0.60
     blister
    -0.59
     blitz
    -0.57
    MpServer
    -0.57
     sulfur
    -0.56
     dozen
    -0.55
     rainy
    -0.54
    onite
    -0.54
    POSITIVE LOGITS
    rather
    1.14
    usually
    1.03
    often
    0.94
     ie
    0.93
     preferably
    0.90
     irrespective
    0.88
    especially
    0.88
    whether
    0.87
    albeit
    0.87
    assuming
    0.84
    Activations Density 0.724%

    No Known Activations