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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. 6265
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    Explanations

    references to the year 2001

    oai_token-act-pair · gpt-3.5-turbo

    references to the year 2001

    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
    attled
    -0.80
    accompan
    -0.76
    Nation
    -0.71
    romancer
    -0.67
    asts
    -0.65
    stakes
    -0.60
    asted
    -0.60
     unsc
    -0.60
    agues
    -0.59
    rom
    -0.58
    POSITIVE LOGITS
    ĸļ
    1.03
    -'
    0.85
    ãĥĥãĥī
    0.83
    etics
    0.75
    ÙĨ
    0.73
     onwards
    0.70
    ãĥ¼ãĥĨãĤ£
    0.70
    UFC
    0.69
    ãĥ¼ãĥ«
    0.68
    orgetown
    0.66
    Activations Density 0.009%

    No Known Activations