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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. 2-RES-JB
    11. 12120
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    Explanations

    references to specific names or words with capitalization

    oai_token-act-pair · gpt-3.5-turbo

    names of individuals and references to negative conditions or situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tery
    -0.88
    Words
    -0.79
    rawdownloadcloneembedreportprint
    -0.78
    ãĥĦ
    -0.73
    Streamer
    -0.68
    cule
    -0.68
    cum
    -0.66
    DOWN
    -0.66
    tic
    -0.64
    ters
    -0.64
    POSITIVE LOGITS
     DeL
    1.02
    encing
    0.83
    ables
    0.81
    ancies
    0.80
    iolet
    0.75
     Cars
    0.73
    umes
    0.73
    ulum
    0.72
    enegger
    0.71
    enced
    0.71
    Activations Density 0.013%

    No Known Activations