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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. 664
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    Explanations

    concepts or ideas based on principles

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the word "principle" and its variations

    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
    minster
    -0.81
    reens
    -0.69
    NetMessage
    -0.66
    ammers
    -0.66
    ctic
    -0.66
    ombs
    -0.66
    akening
    -0.66
    eded
    -0.65
    attery
    -0.64
    orks
    -0.64
    POSITIVE LOGITS
    ually
    1.05
     principle
    0.99
    cipled
    0.89
     principles
    0.85
    arily
    0.81
    ual
    0.80
     Principle
    0.79
    SourceFile
    0.76
    yout
    0.75
    ciples
    0.75
    Activations Density 0.014%

    No Known Activations