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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. 14587
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    Explanations

    keywords related to bulletins or official reports

    oai_token-act-pair · gpt-3.5-turbo

    references to formal publications or bulletins

    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
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    Negative Logits
    metic
    -0.96
    apes
    -0.92
    itance
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    oji
    -0.86
    roots
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    aped
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    okane
    -0.84
    aping
    -0.83
    ayne
    -0.82
    itan
    -0.80
    POSITIVE LOGITS
     Bulletin
    1.13
     bulletin
    1.05
     boards
    0.88
     Board
    0.84
     Boards
    0.80
     Alert
    0.79
     board
    0.76
    DragonMagazine
    0.76
     Bam
    0.72
     Mub
    0.72
    Activations Density 0.017%

    No Known Activations