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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. 7-RES-JB
    11. 336
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    Explanations

    locations or establishments associated with leisure or hospitality

    oai_token-act-pair · gpt-3.5-turbo

    mentions of various resorts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    alys
    -0.74
    rity
    -0.70
    rod
    -0.68
    older
    -0.68
    ector
    -0.68
    umbnail
    -0.68
     spores
    -0.66
     biomass
    -0.65
    yan
    -0.65
    matter
    -0.65
    POSITIVE LOGITS
     Resort
    1.16
     Hotel
    1.11
     resorts
    1.05
     hotels
    1.04
     Casino
    1.04
     hotel
    1.03
     occupancy
    0.96
     rentals
    0.95
     hospitality
    0.94
    goers
    0.87
    Activations Density 0.051%

    No Known Activations