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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 22072
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    INDEX
    Explanations

    words related to different types of accommodations (such as lodging, rentals, cabins) and hospitality industry associations

    oai_token-act-pair · gpt-3.5-turbo

    terms related to lodging and accommodations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     hurd
    -0.78
    aneously
    -0.75
     Sonny
    -0.74
     hasht
    -0.73
    £ı
    -0.71
     pulse
    -0.70
    urity
    -0.69
    reek
    -0.69
     Nieto
    -0.67
     Miko
    -0.66
    POSITIVE LOGITS
     accommodation
    1.32
     rentals
    1.32
     accommodations
    1.30
     apartments
    1.21
    ommod
    1.20
     rented
    1.18
     rental
    1.11
     renting
    1.10
    bnb
    1.07
     occupancy
    1.00
    Activations Density 0.177%

    No Known Activations