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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
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    terms related to the hospitality industry

    oai_token-act-pair · gpt-3.5-turbo

    terms related to hospitality and service industry concepts

    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
     NCT
    -0.72
    printed
    -0.70
     Gutenberg
    -0.68
    prints
    -0.68
    20439
    -0.68
    runs
    -0.67
    gans
    -0.67
     stump
    -0.64
    ggles
    -0.62
     derail
    -0.60
    POSITIVE LOGITS
     hospitality
    1.49
    isure
    0.81
     guests
    0.80
    skilled
    0.77
     Guest
    0.73
     royalty
    0.72
    ensable
    0.71
     catering
    0.71
    aware
    0.70
     hosp
    0.70
    Activations Density 0.028%

    No Known Activations