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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. 6375
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    Explanations

    flights and travel-related information

    oai_token-act-pair · gpt-3.5-turbo

    references to air travel and flight-related activities

    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
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    Negative Logits
    natureconservancy
    -0.84
    nar
    -0.72
     stances
    -0.72
    chery
    -0.70
    rils
    -0.67
     experimentation
    -0.67
    found
    -0.67
     experiments
    -0.66
     biome
    -0.66
    bush
    -0.65
    POSITIVE LOGITS
    Delivery
    1.17
     FedEx
    1.13
     delivery
    1.03
     UPS
    1.03
     courier
    1.02
     freight
    1.01
     shipment
    1.00
     Delivery
    0.99
     luggage
    0.96
     deliveries
    0.96
    Activations Density 0.545%

    No Known Activations