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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. 2-RES-JB
    11. 746
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    Explanations

    respectful titles of address for men

    oai_token-act-pair · gpt-4-turbo

    phrases that include the word "sir."

    oai_token-act-pair · gpt-3.5-turbo

    repeated addresses to "sir" in a conversational context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    soDeliveryDate
    -0.77
     stricken
    -0.76
     Workers
    -0.73
     scenes
    -0.70
     Scenes
    -0.69
     Houses
    -0.68
     exhibitions
    -0.67
     largeDownload
    -0.67
     Victims
    -0.67
     menstrual
    -0.67
    POSITIVE LOGITS
     sir
    0.88
    Sir
    0.87
    rored
    0.87
    ifies
    0.86
    XM
    0.86
    ipedia
    0.82
    oux
    0.76
    thritis
    0.76
    pent
    0.75
    ius
    0.74
    Activations Density 0.014%

    No Known Activations