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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. 11-RES-JB
    11. 1580
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    Explanations

    references to the 21st century

    oai_token-act-pair · gpt-3.5-turbo

    references to the 21st century

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     externalToEVAOnly
    -0.82
    aneous
    -0.67
     plain
    -0.66
    iple
    -0.62
    aneously
    -0.61
     Plain
    -0.61
    awar
    -0.59
    ched
    -0.57
    amount
    -0.57
    into
    -0.57
    POSITIVE LOGITS
    st
    1.89
    ST
    1.11
    WI
    0.89
    sta
    0.88
    sts
    0.84
    50
    0.75
    nd
    0.75
    stre
    0.74
    ists
    0.74
    istant
    0.73
    Activations Density 0.105%

    No Known Activations