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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
    11. 21813
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    Explanations

    principles, values, or beliefs

    oai_token-act-pair · gpt-3.5-turbo

    references to principles 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
    akening
    -0.78
    minster
    -0.74
    orks
    -0.72
    ammers
    -0.69
    omes
    -0.68
    odes
    -0.68
    ork
    -0.68
    opping
    -0.67
    ashes
    -0.65
    NetMessage
    -0.65
    POSITIVE LOGITS
     principle
    1.19
    cipled
    0.89
     principles
    0.88
    ually
    0.86
    yout
    0.86
     Principle
    0.83
    arily
    0.83
    witz
    0.82
    inguishable
    0.80
     precept
    0.77
    Activations Density 0.005%

    No Known Activations