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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. 11-RES-JB
    11. 21399
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    Explanations

    keywords related to accommodations and travel

    oai_token-act-pair · gpt-3.5-turbo

    references to requests for items or services

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     pillars
    -0.89
     entities
    -0.86
     processes
    -0.86
     structures
    -0.85
     fronts
    -0.84
     elements
    -0.84
     ceilings
    -0.82
     constructs
    -0.81
    axies
    -0.81
     precincts
    -0.81
    POSITIVE LOGITS
     voucher
    1.10
     haircut
    1.08
     coupon
    1.05
     appointment
    1.04
     refres
    1.03
     refill
    1.03
    ectomy
    1.02
     discount
    1.01
    ointment
    1.01
     shave
    1.00
    Activations Density 0.421%

    No Known Activations