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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. 1-RES-JB
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    Explanations

    references to moral principles and societal norms

    oai_token-act-pair · gpt-3.5-turbo

    references to morality and moral concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    eding
    -0.91
    eds
    -0.76
    ept
    -0.75
    eded
    -0.74
    berry
    -0.72
    WER
    -0.71
    bleacher
    -0.68
    upon
    -0.68
    kt
    -0.68
    location
    -0.68
    POSITIVE LOGITS
     contag
    0.93
     morality
    0.92
    ocracy
    0.81
     guiActiveUn
    0.77
     ethics
    0.74
     compe
    0.72
     tremend
    0.70
     righteousness
    0.70
     consciousness
    0.70
     awareness
    0.70
    Activations Density 0.007%

    No Known Activations