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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. 12-RES-JB
    11. 4875
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    INDEX
    Explanations

    equipment-related phrases, specifically focusing on the availability, utilization, and variations of equipment

    oai_token-act-pair · gpt-3.5-turbo
    Triggered by @bot

    references to various types of equipment

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    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_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    pling
    -0.86
    20439
    -0.85
    nee
    -0.78
    ril
    -0.78
    heit
    -0.76
    zee
    -0.75
    awar
    -0.73
    ectar
    -0.73
    lucent
    -0.72
    ²¾
    -0.70
    POSITIVE LOGITS
     manufacturers
    1.23
     rentals
    1.15
     manufacturer
    1.14
     suppliers
    1.08
     racks
    1.08
     stores
    1.06
     purchases
    1.03
     rental
    1.02
     makers
    1.00
     vendors
    0.99
    Activations Density 0.162%

    No Known Activations