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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. 4-RES-JB
    11. 1481
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    Explanations

    instances of the year 2019

    oai_token-act-pair · gpt-3.5-turbo

    references to the year 2019

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

    No Comments

    Negative Logits
    arist
    -0.90
    riad
    -0.78
    onia
    -0.72
    onym
    -0.72
    iqu
    -0.71
    iov
    -0.71
    ngth
    -0.69
    sonian
    -0.68
    king
    -0.68
    ked
    -0.68
    POSITIVE LOGITS
     onwards
    0.94
     onward
    0.83
     srfAttach
    0.80
     versa
    0.74
     2019
    0.70
    2019
    0.66
     timeframe
    0.65
     Dragonbound
    0.64
    å¹
    0.64
    mAh
    0.64
    Activations Density 0.007%

    No Known Activations