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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. 17261
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    Explanations

    financial terms or references to school principals

    oai_token-act-pair · gpt-3.5-turbo

    references to school principals

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    aughs
    -0.71
    etimes
    -0.70
    ALTH
    -0.69
    IGHTS
    -0.67
    ollen
    -0.66
    lihood
    -0.66
    bers
    -0.65
    reens
    -0.65
    ppo
    -0.64
    ICA
    -0.64
    POSITIVE LOGITS
    ipal
    1.05
    ities
    0.91
    ority
    0.91
    essors
    0.88
    ially
    0.83
    iple
    0.82
    ignment
    0.75
    ises
    0.75
    inguished
    0.71
    itatively
    0.71
    Activations Density 0.012%

    No Known Activations