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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
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    Explanations

    acronyms related to government agencies

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the abbreviation "DO" in relation to various government departments and policies

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    Gaza
    -0.79
    Reviewer
    -0.76
    ulates
    -0.70
    ãĤ¼ãĤ¦ãĤ¹
    -0.69
    thur
    -0.68
    ulating
    -0.68
     Scourge
    -0.68
    ICAN
    -0.66
     Preferences
    -0.65
    taboola
    -0.64
    POSITIVE LOGITS
    ppel
    1.19
    herty
    1.14
    omsday
    1.12
    ctr
    1.02
    zens
    1.00
    lyak
    1.00
    oms
    0.99
    berman
    0.94
    lez
    0.89
    omed
    0.86
    Activations Density 0.030%

    No Known Activations